Democratizing LGBTQ History Online: Digitizing Public History in “U.S. Homophile Internationalism”
Bibliographic record
Abstract
This article argues that the online archive and exhibit "U.S. Homophile Internationalism" effectively contributes to the democratizing effects that digital archives and online initiatives are having on the practice of history. "U.S. Homophile Internationalism" is an online archive of over 800 digitized articles, letters, advertisements, and other materials from the U.S. homophile press that reference six non-U.S. regions of the world. It also provides visitors with introductory regional essays, annotated bibliographies, and an interactive map feature. This essay weaves "U.S. Homophile Internationalism" into the debates in community-run LGBTQ archives regarding the digitization of archival materials and the possibilities presented by digital public history. In doing so, it outlines the structure and content of "U.S. Homophile Internationalism," highlighting how it increases the public accessibility of primary sources, encourages historical research on regions of the world that have not been adequately represented in LGBTQ history writing, and creates interactive components to support public engagements with the Web site.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.013 | 0.019 |
| Scholarly communication | 0.014 | 0.013 |
| Open science | 0.001 | 0.017 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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".