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Record W4411616913 · doi:10.1177/03098168251342960

Canadian credit unions and the prospects for a post-capitalist economy

2025· article· en· W4411616913 on OpenAlexaffabout
Erin Flanagan, Dennis Raphael

Bibliographic record

VenueCapital & Class · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsYork University
Fundersnot available
KeywordsEconomicsCapitalist economyMarket economyCapitalismEconomic systemPolitical scienceLaw

Abstract

fetched live from OpenAlex

The growing polycrisis in Canada and elsewhere associated with deteriorating living and working conditions have increased calls for a post-capitalist socialist economy. Among the means of accomplishing this goal is the late Erik Olin Wright’s argument for eroding capitalism by developing alternative economic structures and processes that enable equality and fairness, democracy and freedom, and community and solidarity in a post-capitalist society. In this article, we consider how one of the means cited by Wright for eroding capitalist structures, credit unions, can contribute to this goal. Credit unions are non-profit and member-owned financial institutions that in addition to offering all the services of for-profit banks, usually at lower costs to clients, provide an alternative public ownership model to capitalist finance and privately owned food production and distribution, housing, transportation, and telecommunications. We also propose that in addition to providing a model of collective ownership credit unions can – in collaboration with other social movements – take on a broad advocacy role calling for public policy that more equitably distributes economic and social resources to the population.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.133
Threshold uncertainty score0.962

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0160.007
Scholarly communication0.0090.002
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0150.000

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 head0.010
GPT teacher head0.202
Teacher spread0.192 · 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 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
Published2025
Admission routes2
Has abstractyes

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