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Record W4220885854 · doi:10.53967/cje-rce.v45i1.4929

ME to WE Social Entrepreneurship: A Wolf in Sheep’s Clothing

2022· article· en· W4220885854 on OpenAlexaffvenue
Carrie Karsgaard, Lynette Shultz

Bibliographic record

VenueCanadian Journal of Education / Revue canadienne de l éducation · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSocial entrepreneurshipNarrativeEntrepreneurshipClothingPublic relationsEliteEquity (law)SociologyCorporate social responsibilitySocial enterprisePolitical sciencePoliticsLaw

Abstract

fetched live from OpenAlex

The story of the WE enterprise, also known as ME to WE or WE Charity, presents us with a cautionary tale for teachers who welcome social enterprise into schools as a way of bringing community engagement and social justice into their educational programs. Our paper is a cautionary tale that, like all such tales, opens with the statement of a warning about social entrepreneurship in schools. As the narrative unfolds, this warning is disregarded, and the violator ultimately experiences an unpleasant fate. Using the large-scale data available on Instagram, this paper reveals in detail how WE represented itself, how others perceived it, and how it worked in and with schools to achieve its corporate goals. We conclude the tale by discussing how, by delinking education from corporate interests, schools may serve equity and the public good instead of creating brand fanatics in the service of elite interests.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.017
Scholarly communication0.0110.007
Open science0.0010.005
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0060.001

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 head0.043
GPT teacher head0.313
Teacher spread0.270 · 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

Citations2
Published2022
Admission routes2
Has abstractyes

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