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Record W2964553014 · doi:10.1177/0034644619865266

A Black Epistemology for the Social and Solidarity Economy: The Black Social Economy

2019· article· en· W2964553014 on OpenAlexafffund
Caroline Shenaz Hossein

Bibliographic record

VenueThe Review of Black Political Economy · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsYork University
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of TorontoGovernment of OntarioCERN
KeywordsSolidaritySociologyCapitalismIdeologySolidarity economySocial theoryPolitical economyBusiness ethicsMainstreamPolitical scienceSocial sciencePoliticsLaw

Abstract

fetched live from OpenAlex

A Black epistemology in economics is needed to bring ethics back into business. Contributions of racialized people in the economy are ignored. Black and racialized scholars also find that their work is not cited, even by the most liberal-minded social economists. In the Americas, Black and racialized citizens innovate in the social and solidarity economy; yet their work goes unnoticed in the academic literature, or scholars approach them as the "Other" without invoking theory that reflects the very people they are writing about. Although the ills of neoliberal variants of capitalism are known, the diverse economies in which Black folk engage are less understood. Forcing White and European ideas on a non-White experience is limited in what it can do effect social change. Nor can we sever the Western ideologies in the field because it is this very bias why the Black radical tradition and other Black theories come into being. There is no shortage of Black writings on solidarity economics and they can now be housed in Black social economy. A Black social economy epistemology is politicized for goodness, and it is grounded theory, inclusive of the Black radical tradition, and lived experience because of the explanatory powers of these theoretical approaches to disrupt mainstream business and society.

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)0.004
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.941
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.008
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.040
GPT teacher head0.342
Teacher spread0.302 · 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 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

Citations49
Published2019
Admission routes2
Has abstractyes

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