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Record W3034318209 · doi:10.3167/hrrh.2020.460101

Introduction to “Sex across the Ages: Restoring Intergenerational Dynamics to Queer History”

2020· article· en· W3034318209 on OpenAlexvenueno aff
Nicholas L. Syrett

Bibliographic record

VenueHistorical Reflections/Réflexions Historiques · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Gender and Feminism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQueerPhallic stageScholarshipRealmGender studiesHistoriographyQueer theorySociologyAestheticsHistoryPsychologyPsychoanalysisArtPolitical science

Abstract

fetched live from OpenAlex

The introduction situates the historiography on queer intergenerational sex in the realm of scholarship on queer history, the history of childhood, and the literature on the significance of chronological age. It lays out three broad schemas that have organized queer intergenerational sex—looking at it as a phallic economy where boys submitted to older men in ways that were akin to women; as a function of pederastic or pedophilic desires; and as abuse—and also explores the overlap and permutations among these categories. It then introduces the six articles in this forum, elucidating their central arguments and the contributions that they make to this dynamic field.

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: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.007
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0180.002

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 head0.099
GPT teacher head0.368
Teacher spread0.269 · 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
GenreCommentary

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

Citations0
Published2020
Admission routes1
Has abstractyes

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