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Record W7005629125

Review: William K. Carroll and Kanchan Sarker (eds), A World to Win

2017· article· en· W7005629125 on OpenAlexaboutno aff

Bibliographic record

VenueMURAL - Maynooth University Research Archive Library (National University of Ireland, Maynooth) · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Invertebrate Ecology and Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsScope (computer science)TributeSolidaritySocial movementTone (literature)Politics
DOInot available

Abstract

fetched live from OpenAlex

Review: William K. Carroll and Kanchan Sarker (Eds), 2016, A World to Win: Contemporary Social Movements and Counter-Hegemony. Arbeiter Ring: Winnipeg (413 pp., paperback, CAN$24.95) William K. Carroll and Kanchan Sarker’s A World to Win is a collection of writing by Canadian activists and activist-scholars on contemporary social movements which they see as constituting “agencies of counter-hegemony.” The book packs a lot into a small space: Part I’s seven chapters broadly discuss the situation of contemporary movements at a fairly general theoretical level; Part II’s seven chapters cover different specific movements in Canada; while Part III’s four explore the challenges of solidarity and alliance-building. Together these 18 chapters are very diverse in scope and style, but the tone is much more consistent, a tribute to good editing.

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), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.002
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.029
GPT teacher head0.265
Teacher spread0.236 · 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; both teacher heads agree on what is shown here.

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
Published2017
Admission routes1
Has abstractyes

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