Rally points, calls, and sends

The bold words are the short name noted in bold in the yellow box at the bottom of relevant pages, aka the rally points. The "calls" inset are duplicated in the yellow boxes on each relevant page.

Then the "sends" are listed. These are each of the pages that call a rally point.

call-rally-send.png

Three connected nodes with the central node larger, which is also on the cover of each sub-book. Call and Send are, respectively, before and after references. Rally is the central/larger node, where the concept is expanded.

accomplish:

what are we hoping to accomplish

calls: story, strata, time

sends: meaning

allatonce:

we can't get traction on everything all at once

calls: people are complex, reductionism

bad actors:

our bad actors

calls: fantasy, future-sense, hierarchy from network, prioritization, top-down

sends: cognitive IA, design ethics, failing information states, garbage-in, manage, navigation, reactions, system elastic, tbd, who-ness

bet:

it’s a bet

calls: connectome, future-sense, garbage-in, implicit process, information structures, metadata, network, nodes, point of view, story, who-ness

sends:IA levelset, ouruborus, perspectives, ripen, tools

bottom-up:

bottom-up approach to hierarchy

calls: cognitive bias, context, emotions, garbage-in, taxonomy

sends: core precepts, perspective network

building:

building towards the future

calls: IA levelset, information structures, ouruborus, prioritization, reality adhesion, weight

care:

why do we care about this architecture

calls: cognitive bias, meaning, memory

sends: meaning

code:

the implications of code

calls: cognitive bias, failing information states, flip sides, systems flow, tools

cognitive bias:

cognitive bias

calls: meaning, memory, ouruborus

sends: bottom-up, care, code, cognitive bias, cognitive IA, context, design ethics, garbage-in, learning, metaIA, navigation, network gen, perspective lens, perspective research, social IA, tbd, trauma, understanding-teaching-maintaining, weighting

cognitive IA:

cognitive information architecture

calls: bad actors, cognitive bias, garbage-in, IA levelset, time

sends: connectome, context, human nature, internalized experience, learning, ouruborus, social IA, trauma

cognitive load:

keep on keeping on

calls: ouruborus, processing chain, reactions, tools

sends: processing change, tbd

connections:

connections

calls: information structures, metadata

sends: connectome, context, IA levelset, information structures, juxtaposition, levels longform, navigation, network overview, people are complex, perspective attention, ripen, social IA, strata longform, system connectome, system elastic

connectome:

the connectome is the fundamental structure

calls: cognitive IA, connections, context, environment, failing information states, garbage-in, learning, processing chain, reactions, reality adhesion, story, tools, who-ness

sends: bet, failing information states, human nature, information structures, learning, linking, metadata, network overview, ouruborus, perspective network, story, strata longform, system connection, system elastic

context:

people as the primary information context

calls: cognitive bias, cognitive IA, connections, context, emotions, environment, failing information states, garbage-in, hierarchy, learning, memory, processing chain

sends: bottom-up, connectome, context, core precepts, encap long, human nature, levels longform, meaning, memory, metadata, nuggetize, people are complex, perspective lens, perspective research, perspectives, story, system elastic, taxonomy, variability

core precepts:

core precepts

calls: bottom-up, context, network, taxonomy, top-down, weighting

sends: design ethics, navigation, people are complex, social IA, top-down, trauma

design ethics:

information technology design ethics

calls: bad actors, cognitive bias, core precepts, encapRD, failing information states, future-sense, implicit process, lenses, prioritization, reality adhesion, story, trust

emotions:

emotions

calls: reductionism

sends: bottom-up, context, manage, navigation, network gen, nuggetize, processing chain, reactions, reality adhesion

encapRD or encap long:

nodes as encapsulated rich data or

nodes as encapsulated rich data, longform

calls: context, garbage-in, hierarchy, learning, meaning, metadata, network, nodes, prioritization, time

sends: design ethics, environment, levels longform, metaIA, nodes, strata longform, system expand/contract, systems flow, taxonomy, tools

environment:

the physical and social environment

calls: encapRD, excluded, fantasy, garbage-in, network, perspective user, story, systems, tools

sends: connectome, context, failing information states, garbage-in, human nature, manage, network gen, nuggetize, ouruborus, people are complex, processing chain, reactions, reality adhesion, social IA, system resources, systems flow, taxonomy, time, variability, who-ness

excluded:

excluded data still exists

calls: implicit process, internalized, juxtaposition, story, who-ness

sends: environment, garbage-in, metaIA, perspective research, perspective user

expression:

expression

Anywhere that environment is implicated can include any or all of the four quadrants.

factors:

reactive factors

sends: environment, future, internalized experience, novel futures, prioritization, processing chain, reality adhesion, time, trauma, weighting

failing information states:

failing information states

calls: bad actors, connectome, environment, implicit process, metadata, node, system elastic, system expand/contract, system resources, systems flow, time, trust, who-ness

sends: code, connectome, context, design ethics, fantasy, hierarchy from network, human nature, lenses, manage, network overview, reality adhesion, strata longform, system elastic, system expand/contract, system resources, systems flow, weight

fantasy:

labeled fantasy

calls: failing information states, garbage-in, ouruborus, processing chain, reality adhesion, reductionism

sends: bad actors, environment, flow-state, future-sense,

flip sides:

toxins and tonics

sends: code, network gen, tbd

flow-state:

flow-state

Anywhere that environment is implicated can include any or all of the four quadrants.

fungible:

our fungible processing chain

calls: linking, prioritization, reality adhesion, trauma, weighting sends:  reality adhesion

future:

we function into the future every day

calls: factors

future-sense:

the future sense of fear and desire

calls: fantasy, prioritization, processing chain

sends: bad actors, bet, design ethics, human nature, ideation, reactions, social IA, through time, time

garbage-in:

garbage in, garbage out

calls: bad actors, cognitive bias, environment, junk data, juxtaposition, memory, ouruborus, reality adhesion, story

sends: bet, bottom-up, cognitive IA, connectome, context, encap long, environment, fantasy, hierarchy from network, human nature, keeping network, learning, metadata, navigation, network gen, network overview, perspective lens, perspective network, reductionism, ripen, simplifying, strata, strata longform, system expand/contract, systems flow, taxonomy

health:

health

Anywhere that environment is implicated can include any or all of the four quadrants.

hierarchy

where 'hierarchy' alone is noted, it means the concept is calling/sending broadly from hierarchy concepts.

calls: bottom-up, hierarchy from network, simplifying, top-down

sends: context, encap long, encapRD, hierarchy from network, IA levelset, levels, levels longform, manage, navigation, network gen, nodes, nuggetize, people are complex, perspective attention, perspective research, social IA, strata longform

hierarchy from network:

pulling hierarchical structures out of network

calls: failing information states, garbage-in, hierarchy, learning, network, strata, time

sends: bad actors, keeping network, network

human nature

the fuzzy math of human nature

calls: cognitive IA, connectome, context, environment, failing information states, future-sense, garbage-in, information structures, processing chain, top-down, who-ness

IA levelset:

a note about information architecture

calls: bet, connections, hierarchy, internalized, learning, mental model, prioritization, reactions, system expand/contract, system resources

sends: building, cognitive IA, variability

ideation:

ideation

calls: future-sense, memory

sends: tbd, tools

implicit process:

implicit process

calls: bet, design ethics, excluded, failing information states, metadata, perspective network, perspective user, ripen, social IA, story, system elastic, understanding-teaching-maintaining

sends: meaning

information structures:

basic information structures longform &

the basic data structures

calls: connections, connectome, nodes

sends: bet, building, connections, human nature, levels, levels longform, metaIA, nodes, people are complex, ripen, social IA, story, strata longform, system elastic, variability

internalized experience:

internalized experience

calls: cognitive IA, processing chain, reality adhesion

sends: excluded, IA levelset, lenses, reactions, social IA, system elastic, time

in time:

we live in time mentally

sends: junk data, garbage-in, metaIA, perspective user, perspective research

juxtaposition:

juxtaposition and placement (image) or

 juxtaposition and placement

calls: connections, nodes

sends: excluded, garbage-in, levels longform, metaIA, nuggetize, people are complex, reality adhesion, story, strata longform, system connectome, weight

keeping network

why not discard network

calls: garbage-in, hierarchy from network, simplifying

sends: network

learning:

learning is hard work

calls: cognitive bias, cognitive IA, connectome, garbage-in, memory, processing chain

sends: connectome, context, encap long, hierarchy from network, IA levelset, metaIA, people are complex, social IA, story, thinkIA, tools, top-down, understanding-teaching-maintaining

lenses:

lenses

calls: failing information states, internalized, reductionism, story, strata, who-ness

sends: design ethics, levels, levels longform, metadata, metaIA, ouruborus, perspectives, reactions, reductionism, system elastic, tbd,

levels:

levels or

levels, longform

calls: connections, context, encapRD, hierarchy, information structures, juxtaposition, lenses, meaning, memory, metadata, taxonomy

sends: metadata, strata longform

linking:

linking

calls: connectome, nodes, prioritization

sends: fungible

manage:

how to manage people

calls: bad actors, emotions, environment, failing information states, hierarchy, network, nodes, people are complex, prioritization, reactions, reality adhesion, systems, tools, top-down

meaning

where 'meaning' alone is noted, it means the concept is calling/sending broadly from meaning concepts.

calls: accomplish, care, context, implicit process, story, taxonomy, thinkIA, understanding-teaching-maintaining

sends: care, cognitive bias, encap long, levels longform, memory, metadata, nodes, perspective lens, perspective research, ripen, strata, strata longform, system connectome, system elastic, systems flow, taxonomy

memory:

memory

calls: context, meaning, ouruborus, story, tools

sends: care, cognitive bias, context, garbage-in, ideation, learning, levels, levels longform, mental models, navigation, nuggetize, people are complex, perspective attention, perspective lens, processing chain, reactions, story, strata longform, systems flow, through time, time, tools, top-down, trauma, understanding-teaching-maintaining, variability

mental model:

mental models

calls: memory

sends: IA levelset, perspective network, processing chain, response, social IA, system connectome, trauma

metadata:

metadata

calls: connectome, context, garbage-in, implicit process, lenses, levels, meaning, strata

sends: bet, connections, encap long, encapRD, failing information states, levels, levels longform, navigation, nuggetize, ripen

metaIA:

information architecture is itself a node

calls: cognitive bias, encapRD, information structures, junk data, juxtaposition, learning, lenses, network, nodes, story, strata, taxonomy

sends: variability

bridging between information and mind

calls: bad actors, cognitive bias, connections, core precepts, emotions, garbage-in, hierarchy, memory, metadata, network, nuggetize, perspective user, strata, trust

sends: network, perspectives

network

where 'network' alone is noted, it means the concept is calling/sending broadly from network concepts.

calls: hierarchy from network, keeping network, navigation, network gen, network overview, perspectives network, simplifying

sends: bet, core precepts, encap long, encapRD, environment, manage, metaIA, navigation, ouruborus, social IA, system elastic, system expand/contract, systems flow, tbd

network gen:

network is hard

calls: cognitive bias, emotions, environment, flip sides, garbage-in, hierarchy, people are complex, point of view, processing chain, reductionism, who-ness

sends: network

network overview

network overview

calls: connections, connectome, failing information states, garbage-in, perspectives

sends: network, perspectives

nodes:

nodes

calls: encapRD, hierarchy, information structures, meaning, nuggetize, prioritization

sends: bet, encap long, encapRD, failing information states, information structures, juxtaposition, linking, manage, metaIA, strata longform, system connectome, system elastic, system expand/contract, systems flow, weighting

novel futures:

creating novel future states

calls: factors

nuggetize:

nuggetization

calls: context, emotions, environment, hierarchy, juxtaposition, memory, metadata, systems, time

sends: navigation, nodes, ouruborus, system expand/contract

ouruborus:

the ouruborus of perception, image or

the ouruborus of perception

calls: bet, cognitive IA, connectome, environment, lenses, network, nuggetize, ouruborus, processing chain, reactions, strata, time, who-ness

sends: building, cognitive bias, cognitive load, fantasy, garbage-in, memory, people are complex, perspective user, processing chain, reality adhesion, reductionism, social IA, system expand/contract, systems flow, taxonomy, tbd, through time

people are complex:

peoples are complex

calls: connections, context, core precepts, environment, hierarchy, information structures, juxtaposition, learning, memory, ouruborus, reality adhesion, strata, systems, time, tools, trust, who-ness

sends: allatonce, manage, network gen, perspectives, social IA, weight

perspective attention:

quantum physics of the mind

calls: connections, hierarchy, memory, perspectives

sends: perspectives, weighting

perspective lens:

hierarchy as a lens

calls: cognitive bias, context, garbage-in, meaning, memory, ripen

sends: perspectives

perspective network:

perceptual difficulties of network

calls: bottom-up, connectome, garbage-in, implicit process, mental model, network, who-ness

sends: network, perspectives

perspective research:

the problem solver or researcher perspective

calls: cognitive bias, context, hierarchy, junk data, meaning, perspectives

sends: perspectives, reductionism

perspective user:

the user perspective

calls: implicit process, junk data, ouruborus, perspectives

sends: environment, navigation, perspectives

perspectives

where 'perspective' alone is noted, it means the concept is calling/sending broadly from perspective concepts.

calls:bet, context, lenses, navigation, network overview, people are complex, perspective attention, perspective lens, perspective network, perspective research, perspective user, variability

sends: strata longform, system elastic, system expand/contract

point of view:

point of view multiplicity to one

sends: bet, network gen

prioritization:

prioritization

sends: bad actors, building, design ethics, encap long, fungible, future-sense, IA levelset, linking, manage, nodes, ripen, system expand/contract, systems flow, tbd, weighting

processing chain:

processing chain

calls: cognitive bias, cognitive load, emotions, environment, memory, mental model, ouruborus, tools, trust

sends: cognitive load, connectome, context, fantasy, future-sense, human nature, internalized experience, learning, network gen, ouruborus, reality adhesion, response

reactions:

reactions

calls: bad actors, emotions, environment, future-sense, internalized, lenses, memory, trust

sends: cognitive load, connectome, IA levelset, manage, ouruborus, social IA, who-ness

reality adhesion:

reality adhesion threshold

calls: emotions, environment, failing information states, juxtaposition, ouruborus, processing chain, time

sends: building, connectome, design ethics, fantasy, fungible, garbage-in, internalized experience, manage, people are complex, reductionism, system elastic

reductionism:

reductionism and truthiness

calls: garbage-in, lenses, ouruborus, perspective research, reality adhesion

sends: allatonce, emotions, fantasy, lenses, network gen, system expand/contract, systems flow

response:

response

calls: mental model, processing chain

sends: social IA, who-ness

ripen:

information structures ripen

calls: bet, connections, garbage-in, implicit process, information structures, meaning, metadata, prioritization, tools

sends: perspective lens

safety:

safety

Anywhere that environment is implicated can include any or all of the four quadrants.

simplifying:

the repercussions of simplicity

calls: garbage-in

sends: keeping network, network, variability

social IA:

information architecture as a facet of our social makepu

calls: cognitive bias, cognitive IA, connections, core precepts, environment, future-sense, hierarchy, implicit process, information structures, internalized, learning, mental model, network, ouruborus, people are complex, reactions, response, time, top-down, who-ness

story:

story

calls: connectome, context, implicit process, information structures, juxtaposition, learning, memory

sends: accomplish, bet, connectome, design ethics, environment, excluded, garbage-in, lenses, meaning, memory, metaIA

strata:

strata or

strata, longform

calls: connections, connectome, encapRD, failing information states, garbage-in, heirarchy, information structures, juxtaposition, levels, meaning, memory, nodes, perspectives, taxonomy

sends: accomplish, hierarchy from network, lenses, metadata, metaIA, navigation, ouruborus, people are complex, tbd

system connectome:

understanding system connectome

calls: connections, connectome, juxtaposition, meaning, mental model, nodes

sends: system elastic, system expand/contract, systems flow

system elastic:

systems are elastic

calls: bad actors, connections, connectome, context, failing information states, implicit process, information structures, internalized, lenses, meaning, network, nodes, perspectives, reality adhesion, system connectome, system expand/contract, taxonomy

sends: failing information states

system expand/contract:

systems expand and contract

calls: encapRD, failing information states, garbage-in, network, nodes, nuggetize, ouruborus, perspectives, prioritization, reductionism, system connectome, system resources, taxonomy, time, top-down

sends: failing information states, IA levelset, system elastic, trauma

system flow:

systems flow

calls: encapRD, environment, failing information states, garbage-in, meaning, memory, network, nodes, ouruborus, prioritization, reductionism, system connectome, system resources, who-ness

sends: code, failing information states, tbd

system resources:

system as resource

calls: environment, failing information states

sends: failing information states, IA levelset, system expand/contract, systems flow

systems

where 'systems' alone is noted, it means the concept is calling/sending broadly from system concepts.

calls: system connectome, system elastic, system expand/contract, system flow, system resources sends: environment, linking, manage, nuggetize, people are complex, prioritization, weight

taxonomy:

taxonomy and definition

calls: context, encapRD, environment, garbage-in, meaning, ouruborus, top-down

sends: bottom-up, core precepts, levels longform, meaning, metaIA, strata longform, system elastic, system expand/contract

tbd:

to be determined

calls: bad actors, cognitive bias, cognitive load, flip sides, ideation, lenses, network, ouruborus, prioritization, strata, systems flow

thinkIA:

why think about information architecture

calls: learning

sends: meaning

through time:

we live through time physically

calls: future-sense, memory, ouruborus

time:

people have a complex relationship with time

calls: environment, factors, future-sense, internalized, memory, variability

sends: accomplish, cognitive IA, encap long, failing information states, hierarchy from network, nuggetize, ouruborus, people are complex, reality adhesion, social IA, system expand/contract, variability

tools:

non-memory history: tools

calls: bet, encapRD, ideation, learning, memory

sends: code, cognitive load, connectome, environment, manage, memory, people are complex, processing chain, ripen

top-down:

top-down hierarchy

calls: core precepts, learning, memory

sends: bad actors, core precepts, human nature, manage, social IA, system expand/contract, taxonomy

trauma:

trauma's impact

calls: cognitive bias, cognitive IA, core precepts, memory, mental model, system expand/contract

sends: fungible

trust:

trust

sends: design ethics, failing information states, navigation, people are complex, processing chain, reactions

understanding-teaching-maintaining:

why look for something

calls: cognitive bias, implicit process, learning, memory

sends: meaning

variability

have I mentioned variability yet

calls: context, environment, IA levelset, information structures, memory, metaIA, perspectives, simplifying, time

weight:

the weight of our decisions

calls: failing information states, juxtaposition, people are complex, systems, who-ness

sends: building

weighting:

weighting

calls: cognitive bias, factors, nodes, perspective attention, prioritization

sends: core precepts, fungible

who-ness:

who-ness & who-ness, longform

calls: bad actors, environment, reactions, response

sends: bet, connectome, excluded, failing information states, human nature, lenses, network gen, ouruborus, people are complex, perspective network, social IA, systems flow, weight,