Bibliographic record
Abstract
The study of lesbian, gay, bisexual, and transgender (LGBT) social movements mostly emerges out of the sociological study of social movements, although historians have written a number of texts focusing on the history of the movement. The LGBT movement has transformed dramatically throughout time; contemporary queer politics would be incomprehensible to homophile activists mobilizing after World War II. At any given moment, the movement has diversity within it in terms of participants, agendas, tactics, and collective identities; in the early 1970s, within the one social movement there were lesbian feminists and gay liberationists organizing more radical politics, homophile activists taking more moderate approaches to visibility, and the beginnings of the modern liberal gay rights movements. Scholars tend to focus on the mobilizations, tactics, ideologies, and collective identities of the movements. This bibliography provides an overview of the LGBT movements, sections on major phases of the movement, and sections that provide guidance on law and culture in the movement. The major phases of the movement include the early gay and lesbian homophile organizing, gay liberationist politics, lesbian feminism, AIDS activism, and the modern LGBT movement.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.065 | 0.013 |
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".