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Doing Justice in South Africa and Canada

2019· book-chapter· en· W3027427544 on OpenAlexaboutno aff
Brian Stanley

Bibliographic record

VenuePrinceton University Press eBooks · 2019
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsHuman rightsDeclarationPolitical scienceStatus quoEconomic JusticeIndigenousLinguistic rightsLawInternational human rights lawRight to propertyEnvironmental ethicsSociology

Abstract

fetched live from OpenAlex

This chapter highlights the impact on the churches of the human rights agenda in its application to issues of racial justice and the treatment of indigenous peoples. Most discussions of human rights discourse in the second half of the twentieth century begin with the aftermath of the Second World War and the Holocaust, and the consequent adoption of the Universal Declaration of Human Rights at the Third General Assembly of the United Nations in Paris in December of 1948. Ecumenical leaders, influenced by concerns arising from mission field experience in Asia and Latin America, were determined that the Declaration should go further still, incorporating a full statement of freedom of religion, including the increasingly contested right to convert to another religion. In the course of the 1960s and 1970s, human rights discourse acquired a sharper edge. Alongside its older Cold War use as a weapon against communist totalitarianism there developed a radical human rights tradition that addressed the condition of oppressed groups and spoke the language of liberation. This alternative human rights tradition confronted the churches with a choice—either to realign themselves with the demands for liberation, or to pay the price for their apparent collusion with the status quo.

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)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.069
Threshold uncertainty score0.498

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0270.007
Scholarly communication0.0070.002
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0160.001

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 head0.024
GPT teacher head0.217
Teacher spread0.194 · 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
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
Published2019
Admission routes1
Has abstractyes

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Same venuePrinceton University Press eBooksSame topicAmerican Constitutional Law and PoliticsFrench-language works237,207