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Record W2022001013 · doi:10.1108/17508611211280764

Canadian social enterprises: taking stock

2012· article· en· W2022001013 on OpenAlexafffundabout
Peter R. Elson, Peter Hall

Bibliographic record

VenueSocial enterprise journal · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCooperative Studies and Economics
Canadian institutionsSimon Fraser UniversityMount Royal University
FundersSimon Fraser UniversityMount Royal University
KeywordsBusinessSocial enterpriseSocial economyMarketingSample (material)Economic growthPublic relationsEconomicsPolitical science

Abstract

fetched live from OpenAlex

Purpose The purpose of this research is to measure the economic and social/environmental/cultural activity of the social enterprise sector at a provincial level in Canada. Design/methodology/approach The research was implemented in three phases. In phase one, the structure and content of the mapping instrument was developed and tested. In phase two, the survey was circulated to all verified social enterprises in the sample frame to achieve a large and fully representative probability sample of social enterprises in both provinces. Data were subsequently collected for cleaning, entry, and analysis. Phase three involved the circulation of the survey results to social enterprise‐related networks in both provinces through both participant feedback and de‐briefing workshops. Findings Social enterprises surveyed had a number of non‐exclusive purposes. Eight (22 percent) Alberta (AB) social enterprises focused on employment and related activities while 51 (51 percent) of social enterprises in British Columbia (BC) had a similar focus. A total of 39 percent in AB and 47 percent of social enterprises in BC generated income for their parent organization. The highest percentage of social enterprises in both provinces (92 percent in AB/71 percent in BC) described themselves as having a social mission while 25 percent of social enterprises in AB and 35 percent in BC had a cultural mission. Environmental activities were pursued by 22 percent social enterprises in AB and 38 percent in BC. Research limitations/implications Notwithstanding the inclusion of the non‐profit corporate form in the paper's definition, social enterprise organizational form and legal structure tell us little about the activities or the impact of the organization. This is a tentative finding; it is indicative perhaps of the current, “pre‐institutionalized”, phase of social enterprise development, but more research needs to be conducted to fully examine and to elaborate on this proposition. Practical implications Measuring the size, strength and scope of social enterprises contributes to the important constellation of evidence, policy options, and political will that is necessary to put a policy on the political agenda. In BC, the survey results provided policy advocates with the first empirical evidence of the scope, size, and capacity of social enterprises in the province. This, together with existing anecdotal information, case stories, and stakeholder events, helped to convince policy makers that social enterprises are a viable and legitimate entity, worthy of serious policy support. Social implications The aim of this research was to provide relevant and timely information, not to define social enterprises as an end in itself. The operational definition of social enterprise was thus developed with the explicit purpose of conducting this investigation and as such, the authors are confident that it served its purpose. To this end, the authors trust that this survey, and its embedded structural‐functional definition, will contribute to the ongoing exploration of the number and nature of social enterprises in Canada and elsewhere. Originality/value This research set out to take stock of the structure, purpose, and operational activity of social enterprises in BC and AB. This was undertaken using a structural‐functional definition of social enterprise as “a business venture, owned or operated by a non‐profit organization that continuously sells goods or provides services in the market for the purpose of creating a blended return on investment; financial, social, environmental, and cultural”.

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)0.006
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: none
Teacher disagreement score0.106
Threshold uncertainty score0.766

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.008
Science and technology studies0.0170.002
Scholarly communication0.0070.002
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.002

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 head0.025
GPT teacher head0.252
Teacher spread0.227 · 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

Citations26
Published2012
Admission routes3
Has abstractyes

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