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Enregistrement W2030709497 · doi:10.1353/cpp.2011.0023

Understanding the Social Economy: A Canadian Perspective (review)

2011· article· en· W2030709497 sur OpenAlexvenueaboutno aff
Allyson Hewitt

Notice bibliographique

RevueCanadian Public Policy · 2011
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueSocial Sciences and Governance
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSocial economyQuarter (Canadian coin)EconomyTertiary sector of the economyPerspective (graphical)Political scienceEconomicsHistoryLawArtificial intelligence

Résumé

récupéré en direct d'OpenAlex

Reviewed by: Understanding the Social Economy: A Canadian Perspective Allyson Hewitt Understanding the Social Economy: A Canadian Perspective by Jack Quarter, Laurie Mook, and Ann Armstrong. University of Toronto Press, 2009, 344 pp. Paper $35.00, Cloth $80.00 If the term social economy sounds like an oxymoron, then this is probably not the book for you. If, however, you have an interest in social enterprises, co-operatives, and social purpose business, then this book provides a comprehensive guide to understanding this robust and emerging sector. Practitioners will be pleased to see the social economy portrayed as a legitimate field of scholarly study and appreciate this book’s thorough and thoughtful analysis. Social economy organizations are established primarily for social reasons, but they also make a significant contribution to the economy. Although most parts of the social economy are not readily [End Page 279] captured by an easily accessible data set, here is an indication of the sector’s impact: not-for-profit organizations are reported to contribute approximately 7.1 percent of GDP (Statistics Canada 2006), employ over 1 million staff, and engage volunteers in providing over 2 billion hours of service annually. The authors, Jack Quarter, Laurie Mook and Ann Armstrong, all University of Toronto professors at the time of publication, describe the social economy as “an umbrella concept for the many types of organizations created to meet a social need but also involving economic aspects … and in some cases, the exchange of services in the market” (p. vii). It is a very broad category, and the authors try—with varying degrees of success—to present a framework for understanding it. Although there are many books that deal with components of the social economy, this one is uniquely Canadian and aims to “create an appreciation of the many contributions of the vast array of social economy organizations and to understand the challenges they may face” (p. xi). Again, this is not a particularly new topic, but the authors here are also targeting a historically unusual audience: business students. To remain relevant to these readers, the book offers not only historical analysis but also discussion questions and both high-level and in-depth case studies. This approach is obviously the work of experienced educators. The case examples are all good, as current as possible, and go a long way to making the experience of this nebulous sector relevant to a new audience. The challenge lies in the distinctions the authors attempt to make between the rapidly blurring lines associated with creating both social and economic value, or what many of us in the sector call blended value, which builds on the work of Jed Emerson and more recently Michael Porter and Mark Kramer, who use the term shared value. The authors present a typology that involves five categories: social economy businesses, community economic development, social enterprises, public sector non-profits, and civil society organizations. But as the authors themselves point out, the distinctions between these categories, and in fact between social economy organizations and traditional for-profit enterprises engaged in Corporate Social Responsibility (CSR), are “one of degree rather than one of dichotomy” (p. x), and the boundaries between the sectors are currently blurred and increasingly fluid. Therefore, the distinctions feel a bit forced and arbitrary, making them challenging to follow as clearly as one would have hoped. The authors provide great detail on each of the categories. But some organizations, for example the YM-YWCA, which the authors identify as a social economy business, could fall under any category. Organizations in the social economy are complex, and an effort to find similar underlying characteristics, rather than differences, is probably a more useful exercise. The authors identify these shared, similar characteristics as having social objectives, social ownership, volunteer/social participation, and civic engagement. Those who use the term social economy, primarily in Quebec where the term is frequently used, are probably comfortable with this characterization, but we at MaRS have begun to think about this work slightly differently. We are faced with a growing range of social innovators who are choosing some form of private ownership (not social ownership) in order to achieve a social or environmental outcome— valuing...

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)0,009
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,976
Score d'incertitude au seuil0,931

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,009
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0030,001
Bibliométrie0,0090,022
Études des sciences et des technologies0,0020,003
Communication savante0,0050,004
Science ouverte0,0020,002
Intégrité de la recherche0,0030,004
Charge utile insuffisante (le modèle a refusé de juger)0,0080,001

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 Opus0,228
Tête enseignante GPT0,345
Écart entre enseignants0,117 · 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'étudeSans objet
Domainenon disponible
GenreSynthèse

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

En bref

Citations0
Publié2011
Routes d'admission2
Résumé présentoui

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