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Record W7006054321

Solidarity: The history and future of Canadian BIPOC co-operation and co-operatives in context

2022· other· en· W7006054321 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousSolidarityParticipatory action researchContext (archaeology)IntersectionalityFocus groupGrassrootsCitizen journalism
DOInot available

Abstract

fetched live from OpenAlex

This paper is a reflection of my research and experiences over the course of my Masters of Environmental Studies degree, which culminated in my co-founding Freedom Dreams Co-operative Education, an organization designed to educate about the co-operative model from an intersectionality lens specific to Black, Indigenous and People of Colour communities and to enable coalition building in the solidarity economy. Culturally diverse forms of co-operation are not recognized or understood well by the Canadian co-operative sector, which has led to a dominant model of co-operatives held up by and continuing to perpetuate colonial, heteropatriarchal constructs. This is problematic in the active erasure of BIPOC contributions to the co-operative sector, ignoring the diverse, rich cultural traditions of co-operation, and leaving out demographics of groups and individuals who may benefit from the co-op model. My research was guided by the following questions: How do Canadian co-operators and co-op activists engage more diverse communities in the co-operative model and establish more equitable and inclusive co-ops? How does the co-op sector introduce tools and education to form co-ops for interested BIPOC co-operators? What is it about the Canadian co-operative model that has made it inaccessible to many BIPOC communities? Through my primary and secondary research via interviews, focus groups and a literature review I draw on what I have learned from various communities of Black and Indigenous co-operators, and engage with critical pedagogy, Community Based Participatory Research (CBPR), and decolonial theory. I argue that this is a pivotal time to reassess the Canadian co-operative sector in making room for more diverse voices and action, strengthening the wider solidarity economy with co-operative action and bringing co-operative values to work led by BIPOC co-operators, youth, and allies. The key findings of this research were that culturally diverse co-operation in Canada faces barriers of language, racism, and a lack of time, resources and trust. This paper is part of a portfolio which explores these themes and connects them to the broader body of work that explores co-operatives and the solidarity economy through an intersectional lens. This portfolio also includes a an appendix of partners building solidarity economy in Canada, a business plan outline for Freedom Dreams Co-operative Education and the framework for an upcoming workshop series analyzing the 7 Co-operative Principles using an anti-oppression lens, each intended to build on this reflection paper by creating practical tools for the co-operative sector.

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)0.006
metaresearch head score (Gemma)0.007
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 score0.200
Threshold uncertainty score0.927

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.010
Science and technology studies0.0510.055
Scholarly communication0.0240.009
Open science0.0030.010
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0110.001

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 head0.011
GPT teacher head0.159
Teacher spread0.148 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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