A1 · Reading: room notes
Read each community on its own terms
Before looking for patterns across communities, the aggregator needs to understand what happened inside each one. A1 builds that familiarity and checks what the supplied evidence can support. In these guides, a community is one subreddit treated as a case; the run’s files call it a room.
Where this stage starts
Community coding has already produced concepts tied to participants’ words, themes that group those concepts, and a written account of each community. Reply trees preserve who answered whom. The aggregator receives this coded collection, not an untouched view of every Reddit post. Checking its coverage is therefore part of the analysis.
What the aggregator does
First, the aggregator checks the package: whether files and counts agree, dates make sense, and missing material or work on other platforms could change an interpretation. A community that tried and failed to organize is still informative. Excluding it simply because it made no lasting artwork would hide part of the phenomenon.
The aggregator declares a reading order and expectations before reading each community as a whole. Participants’ words come before the community coder’s account; canvas information comes last. This order helps distinguish what the record shows from an interpretation already supplied by another agent.
Each community gets a note about its aims, sequence of events, uncertainties and last observed coordination. Notes preserve context for later work but do not replace source evidence. A later claim must still point back to the underlying material. Silence at the end of a thread does not establish that organizing ended everywhere, especially when members moved to another platform.
What the next stage receives
B1 receives an informed reading of the communities, a declared analysis set, and recorded uncertainties. It can begin building categories that work across cases. A1 has not yet created that common scheme or a population model.
What the output files contain
Open a file group for its purpose. These are descriptions of the stage’s outputs. Markdown files hold prose; JSONL files hold one structured record per line.
Community reading notesrooms/<sub>.md, <sub>, order-A1.txt
rooms/<sub>.md records each community’s story and
uncertainties. <sub> stands for its subreddit name.
order-A1.txt records the order of reading, so later readers
can inspect how the aggregator encountered the cases.
Words, patterns and possible connectionslexicon-A1.md, running-A1.md, leads-A1.jsonl
lexicon-A1.md preserves participants’ vocabulary with
source references. running-A1.md collects observations
across readings. leads-A1.jsonl records possible
connections between communities that still need investigation.
The planned comparison and exclusionscontrast.md, dropped.jsonl
contrast.md declares the early-versus-late comparison
and expectations before the reading. dropped.jsonl names
exclusions and explains why they were made; an empty file means none
were recorded.
How the end of organizing is observedcoordinating-rule-A1.md, organizing_end-A1.jsonl
coordinating-rule-A1.md explains how coordination is
distinguished from recounting or joking.
organizing_end-A1.jsonl records the last observed
coordination and evidence about what remained, including cases where the
record is silent.
Checks, departures and the handoffnotes-A1.md, defects.jsonl, departures.jsonl, run_manifest.json, handback-A1.md, _head.md
notes-A1.md explains decisions and limits.
defects.jsonl records problems with the data or tools;
departures.jsonl records departures from the protocol.
run_manifest.json records inputs and model settings.
handback-A1.md summarizes the handoff, while
_head.md preserves the current position for
continuation.
Full stage description
Read the complete technical card for exact tasks, reading boundaries, checks and closing rules. The explanation above is a guide; the card holds the instructions.
How the stage is divided into legs
A1a: checks and screen. Repeats: no. Interview point: -.A1b: reading block. Repeats: yes. Interview point: -.A1c: lexicon and analysed set. Repeats: no. Interview point: end.
Source versions and hashes identify the exact technical documents reproduced here.