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Record W7030169986

Masculinities and Queer Perspectives in Transitional Justice

2024· book· en· W7030169986 on OpenAlexfundno aff

Bibliographic record

VenueBiblioBoard Library Catalog (Open Research Library) · 2024
Typebook
Languageen
FieldSocial Sciences
TopicGender and Technology in Education
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaEnvironment and Climate Change CanadaKroc Institute for International Peace Studies, University of Notre DameUniversidad de los AndesAfrican UnionUnited NationsBundesministerium für Bildung und ForschungUniversity of CambridgeEuropean CommissionAlexander von Humboldt-Stiftung
KeywordsQueerTransitional justiceAppealEconomic JusticeTemporalityQueer theory
DOInot available

Abstract

fetched live from OpenAlex

<p>This book addresses the theory and practice of transitional justice through the lens of masculinities and queer perspectives.</p><p>What and where are the intersections between masculinities and queer theories and frameworks for better understanding lived experiences of violence, justice, and transitions? How can masculinities and queer perspectives enhance and "complexify" our understandings of the intersections between gender, sexualities, armed conflict and (post-)conflict transitions? Incorporating masculinities and queer perspectives in transitional justice in tandem, and alongside one another, this book contributes empirically, conceptually, and methodologically to an exploration of gender in processes of dealing with violent pasts. More specifically, and by taking on the task of combining, bringing into conversation, and utilizing both masculinities and queer perspectives, the book aims to facilitate and contribute toward more inclusive, holistic, and intersectional approaches of gender in dealing with the past.</p><p>This book will appeal to scholars and students working in the areas of transitional justice, peace and conflict research, international relations, gender studies, and socio-legal studies.</p><p>The Open Access version of this book, available at <a href="http://www.taylorfrancis.com">www.taylorfrancis.com</a>, has been made available under a Creative Commons Attribution (CC-BY) 4.0 license.</p>

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.116
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0100.006
Science and technology studies0.0010.003
Scholarly communication0.0030.008
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.134
GPT teacher head0.404
Teacher spread0.270 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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