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Record W4387874075 · doi:10.3138/topia-2023-06-20

Building Transformation from Below: Activism, Analysis, and Effective Solidarity

2023· article· en· W4387874075 on OpenAlexaffvenueabout
Alan Sears

Bibliographic record

VenueTOPIA Canadian Journal of Cultural Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsTransformative learningSolidaritySociologyPower (physics)PoliticsBoycottCivil societyPolitical sciencePublic relationsLawPedagogy

Abstract

fetched live from OpenAlex

Mary Jo Nadeau was the theorist and practitioner of a mode of transformative politics oriented around mobilizing in ways that build power from below. She contributed to building a Palestine Solidarity movement in the Canadian state around the call from Palestinian civil society organizations for a campaign of boycott, divestment, and sanctions of Israeli institutions. Her activist practice modelled a politics of solidarity from below that was strategic, learning-oriented, creative and deeply transformative. Solidarity from below requires a delicate balance between recognizing the leadership of those who are struggling for their own freedom and taking responsibility from one’s own position to work together to undo systems of oppression. This mode of activism is built on an open-ended commitment to learning from others, recognizing that they bring experiences and organizing repertoires that are fundamental to effective transformation. As people mobilize, they develop capacities for collectivity powered by strategic victories, an increasing knowledge base, and the shared experience of playful creativity. This deliberate development of capacities from below is a fundamental feature of the project of social transformation.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.464
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
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.045
GPT teacher head0.347
Teacher spread0.301 · 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 teacher head, not a consensus.

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

Citations1
Published2023
Admission routes3
Has abstractyes

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