The atlas
Authoritative source, reproduced unchanged. Exact Markdown · Agent copy with resolved links · The files: data/atlas/. These instructions govern research runs, not checkpoint interviews. They keep the run's own words: a room is a community, a mark an artwork, the analyst the aggregator, the case lead the community coder and the global model the population model.
The 2017 place-atlas: 1,473 artworks, each with its outline on the
canvas (path), its centre, and the subreddits it names
(links.subreddit). get_atlas.sh downloads the
exact copy the study used (sha256 begins 40a93f67dc552878),
pinned to a commit of placeAtlas/atlas-2017. The run keeps its own copy,
aggregator/input/canvas/atlas_2017.json.
It is a pointer only. It says which communities to
look at and where they built. Its name and
description fields are one annotator's first reading and
never enter the coding.
Get it: bash atlas/get_atlas.sh. It
stops if the bytes differ from the run's copy.
Read by:
pixels-per-artwork/code/fetch_sources.py; in the
aggregator, the build's neighbour and canvas steps
(aggregator/input/canvas/atlas_2017.json is the same
file).
Tested 2026-09-26: commit fb730258
downloaded; byte-identical to the run's copy, 1,473 entries.
Codebook
atlas_2017.json is a list of 1,473 entries. The fields
the study reads: id; name;
links.subreddit (the subreddits the entry credits, as
typed); path (the outline, a list of [x, y]
vertices, keyed by period); center (keyed the same way).
description and name are an annotator's words
and never enter the coding.
Credits beyond the links
credits_beyond_links.csv lists the artworks of the 12
population communities that no atlas link names but that the census
admitted from the canvas or from an atlas description
(coder/census/validations.jsonl): one row per community and
artwork, with the route and the words that credit it. r/tenma has none:
its name is written on the canvas, but no atlas entry covers it.
r/OrderOfTheKoi's koi has no atlas outline either: it was built from
hour 30, lost to the Flag of Italy and erased before the freeze. Its
region is derived_regions.json, 541 pixels taken from the
pixel record (the source field says how), named in the
table's region column; the credit it replaced was the whole
flag. The census itself does not use this table; the canvas steps do
(data/pixels-hourly/build_pixels.py for the regions of the
hourly series, aggregator/handler/build_outcome.py for the
six canvas fields, aggregator/handler/build_canvas.py for
subreddits_in_frame). An artwork keeps its atlas links as
well.