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Record W2062454236 · doi:10.1177/1097184x05284465

Marginalization Myths and the Complexity of “Men”

2006· article· en· W2062454236 on OpenAlexaff
Andil Gosine

Bibliographic record

VenueMen and Masculinities · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsYork University
Fundersnot available
KeywordsMasculinityGender studiesSociologyMythologyConversationMaterialismRepresentation (politics)Hegemonic masculinitySAINTPolitical sciencePoliticsHistoryLawEpistemology

Abstract

fetched live from OpenAlex

This article considers conversations about men and masculinity being pursued in the English-speaking Caribbean and the Republic of Ireland. The author engages structural-materialist analysis to evaluate claims circulating in both contexts that suggest men are being marginalized because of their sex-gender and employs cultural analysis to examine the representation of men’s experiences in dominant discursive frameworks. Through reference to two programs that have attempted responses that address the alleged “crisis of masculinity”—Ireland’s Exploring Masculinities program and Saint Lucia’s Men’s Resource Centre in Saint Lucia—the author identifies some of the implications of a limited analysis and also discusses some of the ways in which these programs provide potential opportunities for a more critical conversation about the situation of men and the production of masculinities.

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)0.015
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0190.158
Scholarly communication0.0110.014
Open science0.0020.013
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0030.000

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 head0.028
GPT teacher head0.261
Teacher spread0.233 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations10
Published2006
Admission routes1
Has abstractyes

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