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Record W7010937601

Just Transformations : Grassroots Struggles for Alternative Futures

2023· book· en· W7010937601 on OpenAlexfundaboutno aff

Bibliographic record

VenueBiblioBoard Library Catalog (Open Research Library) · 2023
Typebook
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicOcular Disorders and Treatments
Canadian institutionsnot available
FundersGovernment of CanadaInternational Social Science CouncilStyrelsen för Internationellt Utvecklingssamarbete
KeywordsGrassrootsTransformative learningVisionClimate justiceFutures contractSocial movementPoliticsExistentialismResistance (ecology)SustainabilityMainstream
DOInot available

Abstract

fetched live from OpenAlex

The climate crisis is the greatest existential threat humanity faces today. The need for a radical societal transformation in the interests of social justice and ecological sustainability has never been greater. But where can we turn to find systemic alternatives? From India, Turkey and Bolivia, to Venezuela, Canada and Lebanon, Just Transformations looks to local environmental struggles for the answers. With each case study grounded in the social movements and specific politics of the region in question, this volume investigates the role that resistance movements play in bringing about sustainable transformations, the strategies and tools they utilise to overcome barriers, and how academics and grassroots activists can collaborate effectively. The book provides a toolkit for scholar-activists who want to build transformative visions with communities. Interrogating each case study for valuable lessons, the contributors develop a conceptualisation of a just transformation that focuses on the changes that communities themselves are trying to produce.

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)0.001
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 score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.014
Scholarly communication0.0100.008
Open science0.0010.004
Research integrity0.0030.004
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 head0.084
GPT teacher head0.363
Teacher spread0.279 · 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
Published2023
Admission routes2
Has abstractyes

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