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Record W1846607953 · doi:10.1080/09687599.2015.1057318

Social enterprises as enabling workplaces for people with psychiatric disabilities

2015· article· en· W1846607953 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueDisability & Society · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCommunity Development and Social Impact
Canadian institutionsAthabasca UniversityMcMaster University
Fundersnot available
KeywordsMainstreamAccommodationInclusion (mineral)Neoliberalism (international relations)Work (physics)Public relationsSupported employmentSociologyEconomic growthPsychologyPolitical scienceGender studiesPolitical economyEconomics

Abstract

fetched live from OpenAlex

In recent years, western governments influenced by neoliberalism have emphasized paid work as a key route to social inclusion and community participation for people with psychiatric disabilities. Although paid work can offer many rewards, access to mainstream employment for people with psychiatric disabilities is difficult as they continue to encounter discrimination and a lack of workplace accommodation. One response to these challenges has been the creation of social enterprises as ‘alternative spaces’ of employment for people with psychiatric disabilities. On the basis of interviews with key informants from 21 different social enterprises across Ontario, Canada, this paper critically analyzes the strategies used by organizations to create jobs that are both accommodating for people, but also conducive to the ongoing success of the business.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.536
Threshold uncertainty score0.902

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.061
GPT teacher head0.290
Teacher spread0.228 · 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