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Record W1598934636

Decolonization and the pedagogy of solidarity

2012· article· en· W1598934636 on OpenAlexaff
Rubén Gaztambide‐Fernández

Bibliographic record

VenueDecolonization: Indigeneity, Education & Society · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCritical and Liberation Pedagogy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSolidarityDecolonizationConstruct (python library)EpistemologyTransitive relationSkepticismSociologyColonialismComplicityPolitical scienceLawPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

The concept of solidarity is often evoked within projects of decolonization. More recently, however, the failure to construct solidary relationships that seriously engage the demands posed by decolonization has provoked scepticism as well as suspicion regarding the viability of solidarity. A consideration of the genealogy as well as the multifarious uses of the concept of solidarity reveals some of the ways in which the concept reinscribes colonial logics and operates to obscure complicity and continued colonization. At the same time, it is possible to articulate a set of parameters for solidary relations through which to imaginatively construct new ways of entering into relations with others. In fact, when informed by the failures of responses such as multiculturalism and cosmopolitanism to the problem of human difference, solidarity remains an important possibility. This article proposes three modes for a pedagogy of solidarity that is committed to decolonization. It argues for the possibilities of relational, transitive, and creative solidarity as a strategy for recasting not only human relations but also the very notion of what it means to be human, as crucial for decolonization.

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)0.009
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0100.080
Scholarly communication0.0060.010
Open science0.0020.017
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0050.001

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 head0.020
GPT teacher head0.373
Teacher spread0.353 · 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 designTheoretical or conceptual
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

Citations199
Published2012
Admission routes1
Has abstractyes

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