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Record W7063878496

African social actors, moral power and the mobilization for peace

2020· article· en· W7063878496 on OpenAlexaboutno aff

Bibliographic record

VenueNSUWorks (Nova Southeastern University) · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101PretextGestational periodHyporeflexiaDiafiltrationTubulopathyCircumstantial evidence
DOInot available

Abstract

fetched live from OpenAlex

The proposed scholarly research project is the completion of a book manuscript on examining African social actors’ nonviolent resistance to internal political conflict in the period immediately following the end of the Cold War and the Soviet state (1990s - early 2000s). Scholarship on antiwar and peace movements focuses on experiences in Western Europe, the United States and Canada far more than in Africa, Asia, Eastern Europe, the Middle East and Latin America. This book presents experiences of peace action from Sub-Saharan Africa. It adds to a small yet growing literature on non-Western European social actors’ nonviolent resistance to war that seeks to redress the imbalance in empirical evidence. More importantly, it relates the African experience of anti-war resistance to the debate on nonviolent resistance under difficult conditions such as conditions of austerity, political oppression and repression and violent political conflict. Cases of African religious leaders and women’s peace actions will be examined with the objective of understanding the gendered and religious dynamic social actors’ nonviolent contentious engagement with the state and opposing armed groups.

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)0.004
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.025
Scholarly communication0.0080.005
Open science0.0000.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.026
GPT teacher head0.227
Teacher spread0.201 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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