“Why are we saving All these artist publications + Other Galleries stuffs?” The Emergence of Artist-Run Culture in Halifax
Bibliographic record
Abstract
Item contains the text for five wall panels prepared as part of the exhibition "“Why are we saving All these artist publications + Other Galleries stuffs?” The Emergence of Artist-Run Culture in Halifax," curated by Creighton Barrett and Peter Dykhuis. The exhibition presented archival material from the Mezzanine Gallery fonds at NSCAD University and the Eyelevel Gallery fonds and Centre for Art Tapes fonds held by the Dalhousie University Archives. Select documents, posters, and photographs from 1970 to 1984 were intermingled in chronological order for the first time. The exhibition was presented by the Dalhousie Art Gallery from January 22 - April 17, 2016. Texts prepared for this exhibition include a main panel that introduced the exhibit and four "thematic" panels that introduced clusters of documents which disrupted the chronological orientation of the exhibition. Document clusters were based on quotes from documents in the Eyelevel Gallery fonds and Centre for Art Tapes fonds. The document cluster titled "The machinery by which we have been moved" also included a card with information about artist interviews included in an audio loop that accompanied a video projection of documents and photographs. The card erroneously omitted information about a radio interview with artist and dub-poet Clifton Joseph that was included in the audio loop. Panel text was set by Michelle Gallant, Dalhousie Art Gallery.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".