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Record W2133548582 · doi:10.7202/037773ar

Learning to Sleep without Perching: Reflections by activist-educators on learning in social action in Ghanaian social movements1

2009· article· en· W2133548582 on OpenAlexaffvenue
Jonathan Langdon

Bibliographic record

VenueMcGill Journal of Education / Revue des sciences de l éducation de McGill · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicAdult and Continuing Education Topics
Canadian institutionsMcGill University
Fundersnot available
KeywordsSocial learningAction (physics)Social movementCitizen journalismAction learningPower (physics)SociologyPsychologySocial psychologyPedagogyPolitical scienceCooperative learningPoliticsTeaching method

Abstract

fetched live from OpenAlex

This article conveys results from a participatory action research (PAR) engagement with activist/educators working in Ghanaian social movements. First, this PAR group has articulated two typologies from which to understand Ghanaian social movements based on their processes of organization, communication and learning rather than merely the issues, resources or populations that occupy their focus. Second, expanding on Griff Foley’s (1999) notion of learning in struggle, the PAR group provides three lenses from which to view learning in social movements in Ghana. Both of these contributions help to present a much needed African inflection to ongoing discussions of learning in social movements, especially as these contributions attempt to maintain a complex view of learning based on the shifting characteristics of power and capital.

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)0.003
metaresearch head score (Gemma)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.268
GPT teacher head0.486
Teacher spread0.219 · 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

Citations20
Published2009
Admission routes2
Has abstractyes

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