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Record W4361003067 · doi:10.1080/02722011.2023.2172887

Discovering and Rediscovering Human Rights History

2023· article· en· W4361003067 on OpenAlexaff
Robert A. Ventresca

Bibliographic record

VenueThe American Review of Canadian Studies · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsThe King's UniversityWestern University
Fundersnot available
KeywordsHuman rightsPoliticsSociologyEnvironmental ethicsMeaning (existential)Action (physics)LawFundamental rightsPolitical scienceEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

This article surveys one historian’s experience in researching and teaching about the role of religion in the development of modern human rights in the era of the two world wars and the Holocaust. The first part focuses on the so-called Catholic human rights revolution. It examines transformations in Catholic political thought and social action as a process rather than a revolution—a gradual, incremental, and often contested dynamic that was neither linear nor inevitable. The second part pivots to explain how research on the contested origins of human rights in Catholic thought and social action have stimulated a broader teaching interest in the origins and contemporary meaning of human rights. The article argues that this dynamic of contestation is critical to understanding human rights history in order to lay bare why we have been arguing for decades and even centuries about the nature and application of human rights, and why those arguments matter to the political and moral force that the idea of human rights claims in our world.

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)0.013
metaresearch head score (Gemma)0.017
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: Empirical · Consensus signal: none
Teacher disagreement score0.842
Threshold uncertainty score0.314

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0090.007
Science and technology studies0.0100.090
Scholarly communication0.0130.022
Open science0.0020.007
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0060.000

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 head0.088
GPT teacher head0.282
Teacher spread0.193 · 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
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

Citations0
Published2023
Admission routes1
Has abstractyes

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