Bibliographic record
Abstract
The Transgender Archives at the University of Victoria Libraries is home to the world's largest collection of materials related to the history of Trans+ activism. Since 2017, the Mapping Transgender Activism Project has been a partnership between UVic's Chair in Transgender Studies and UVic Libraries. The project has involved undergraduate and graduate student interns using pre-defined methodologies to read, review, and analyze rare periodicals catalogued by UVic Libraries dating from 1960 onwards. The project records historically important datapoints that appear in each periodical document, including names, dates, events, keywords, and locations, in addition to other textual data. The data is grouped into three main categories: "Issues," "Articles," and "Events." The top category is "Issues." All "Articles" and "Events" data correspond with the "Issues" file. Due to the COVID-19 global pandemic, the internship moved online during 2020-2021, resulting in some Transgender Archives material being accessed through the Digital Transgender Archive. The "DTA links" file lists these issues and links. The "Issue Cover Scans" file includes scanned cover images of all indexed issues. Each data file includes a "Data Dictionary" file providing full details. These files are open to review. Data files are restricted and access is provided upon request After submitting your request for access, your request will be reviewed by the office of the Chair in Transgender Studies. Afterwards, we will respond within a few business days. If you have any questions, please email transarc@uvic.ca
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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.059 | 0.010 |
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".