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Enregistrement W2950937862 · doi:10.1108/sej-12-2018-0075

How work integration social enterprises impact the stigma of mental illness

2019· article· en· W2950937862 sur OpenAlexaff
Terry Krupa, Judith Sabetti, Rosemary Lysaght

Notice bibliographique

RevueSocial enterprise journal · 2019
Typearticle
Langueen
DomaineHealth Professions
ThématiqueEmployment and Welfare Studies
Établissements canadiensMcGill UniversityQueen's University
Organismes subventionnairesnon disponible
Mots-clésMental illnessStigma (botany)Mental healthPsychologyQualitative researchUnemploymentPerceptionPopulationSocial psychologyAssertive community treatmentPsychiatryMedicineEconomic growthSociologyEnvironmental health

Résumé

récupéré en direct d'OpenAlex

Purpose The purpose of the present study was to advance a theoretical understanding of the mechanisms by which WISEs can influence the stigma associated with mental illness. Many people with serious mental illnesses want to work, but despite much attention to work entry strategies, unemployment rates remain exceptionally high among this population. Stigma has been identified as a particularly pernicious barrier to the full community participation of people with mental illnesses. If work integration social enterprises (WISE) are to positively impact the full community participation of people with mental illnesses, then addressing stigma will be integral to their operation. Design/methodology/approach A comparative case study approach was used to address the following research questions: “How is the stigma of mental illness experienced in the everyday operations of WISE?” and “What influence do WISEs have on the stigma of mental illness within the workplace and beyond?” Five established WISEs that pay workers at minimum wage or better were selected for inclusion. The maximum variation sample included WISEs that varied in terms of geographical location, form of commerce, business size, revenues and degree of connection with mental health systems and local communities. Data analysis was conducted in four stages using qualitative methods. Findings The study findings suggest processes by which WISEs can positively impact the stigma of mental illness. Three social processes are associated with the potential of WISE to contribute to stigma reduction: perception of legitimacy, perception of value and perception of competence. Each of these social processes is fueled by underlying tensions in practice that arise in the context of negotiating the dual goals of the business. Research limitations/implications This study advances theoretical understanding of the ways in which stigma may be perpetuated or reduced in WISE by revealing the social processes and practice tensions that may be associated with operation choices made by WISEs and their partners. Further research would be required to determine if the processes described actually lead to reduced stigma. Although efforts were made to select WISEs that demonstrate a variety of features, it is likely that some important features were absent. Additional research could further explore the findings identified here with WISEs from other sectors, including youth and workers with transient or less severe forms of illness. This work should be replicated internationally to explore how contextual factors may influence individual and public perceptions. Practical implications The findings provide guidance for WISE developers in the mental health sector concerning strategies that may help mitigate the development of stigmatizing features within a social enterprise and by extension improve the work experience and workforce integration of employees. The identification of these processes and tensions can be used to advance the development of consensus principles and standards in the WISE field and contribute to ongoing evaluation and research. Social implications WISEs have the potential to reduce stigma, an important goal to support their efforts to improve employment and integration outcomes for people with mental illnesses. Through their business structures and operations they may be able to impact stigma by positively influencing perceptions of legitimacy, value and competence – all issues that have been associated with public assumptions about mental illness that sustain stigma. Originality/value To the best of the authors’ knowledge, this study is one of the first to specifically focus on stigma in the WISE sector, particularly as it relates to the work integration of persons with mental illnesses. The findings provide a range of theoretical and practical implications for future development in the field and highlight factors that merit consideration more broadly in the sector.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,011
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,009
Score d'incertitude au seuil0,037

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,011
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0070,008
Communication savante0,0070,003
Science ouverte0,0010,012
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,031
Tête enseignante GPT0,389
Écart entre enseignants0,358 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations47
Publié2019
Routes d'admission1
Résumé présentoui

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