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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 OpenAlexaffabout
Pearl Buhariwala, Robert Wilton, Joshua Evans

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.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0050.003
Open science0.0010.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.061
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

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 designObservational
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

Citations43
Published2015
Admission routes2
Has abstractyes

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