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Record W2572253264 · doi:10.1080/00918369.2017.1280982

Introduction: U.S. Homophile Internationalism

2017· article· en· W2572253264 on OpenAlexfundaboutno aff
Marc Stein

Bibliographic record

VenueJournal of Homosexuality · 2017
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaYork University
KeywordsInternationalism (politics)Latin AmericansMiddle EastPolitical scienceSoviet unionMedia studiesSociologyLawPolitics

Abstract

fetched live from OpenAlex

This article introduces "U.S. Homophile Internationalism," a special issue of the Journal of Homosexuality. The introduction provides a broad overview of the "U.S. Homophile Internationalism" archive and exhibit, which was published on the Outhistory Web site in 2015. The archive and exhibit consists of more than 800 U.S. homophile magazine articles, letters, and other items that referenced non-U.S. regions of the world from 1953 to 1964. The essays in the special issue focus on (1) Africa; (2) Asia and the Pacific; (3) Canada; (4) Latin America and the Caribbean; (5) the Middle East; and (6) Russia, the Soviet Union, and Eastern Europe. There is also an article that addresses the public history and digital humanities dimensions of the project. The introduction concludes by discussing the essays' common goals, themes, and concerns.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0040.003
Scholarly communication0.0060.004
Open science0.0010.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0260.005

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.

Opus teacher head0.063
GPT teacher head0.435
Teacher spread0.372 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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".

Quick stats

Citations1
Published2017
Admission routes2
Has abstractyes

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