Bibliographic record
Abstract
List of Illustrations Introduction Alexandra Palmer (Royal Ontario Museum, Toronto, Canada) Chapter 1 - Textiles Susan Ward (Independent scholar and curator, USA) Chapter 2 - Production and Distribution Veronique Pouillard (University of Oslo, Norway) Chapter 3 - The Body Adam Geczy (University of Sydney, Australia) and Vicki Karaminas (Massey University, New Zealand) Chapter 4 - Belief Susan J. Palmer (Concordia University, Canada) and Paul Gareau (University of Alberta, Canada) Chapter 5 - Gender and Sexuality Annamari Vanska (Aalto University, Finland) Chapter 6 - Status Jane Tynan (Central Saint Martins, University of the Arts London, UK) Chapter 7 - Ethnicity Simona Segre Reinach (Bologna University, Italy) Chapter 8 - Visual Representations Rachael Barron-Duncan (Central Michigan University, USA) Chapter 9 - Literary Representations Irene Gammel (Ryerson University, Canada) and Katherine Mulhallen (Ryerson University, Canada) Notes Bibliography Notes on Contributors Index
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.085 | 0.016 |
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".