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Record W3210415110 · doi:10.32920/ryerson.14636016.v1

Employer supported volunteering programs in large corporations

2021· preprint· en· W3210415110 on OpenAlexafffundabout
Agnes Meinhard, Femida Handy, Itay Greenspan

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldBusiness, Management and Accounting
TopicCooperative Studies and Economics
Canadian institutionsToronto Metropolitan UniversityVictoria Park
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSocial economyPublic sectorPrivate sectorConceptualizationRevenueGeneral partnershipVoluntary sectorGlobalizationBusinessEconomyEconomicsMarket economyEconomic growthFinance

Abstract

fetched live from OpenAlex

The term Social Economy has been used for years to describe a segment of the economy that is neither driven by the profit motives of private interests, nor owned by the state to serve public interests. Often referred to as the third sector, (distinct from the private for-profit sector and public sector) it defies clear boundaries (Moulaert & Ailenei, 2005). Thus definitions of the social economy vary. In the US the term social economy is not used at all; there the third sector refers strictly to organizations that adhere to the non-distribution-of-profits rule stipulated by the US Internal Revenue System (Graefe, 2006). In Quebec, the term Social Economy has been in use for several decades, but refers to a partnership between state and third sector organizations and an exercise in stemming the tide of neo-liberal globalization (Graefe, 2001). In Ontario and the rest of Canada, reference to a Social Economy is more recent and the concept is applied in a broader manner, in keeping with some European notions of the Social Economy (Fonatan & Shragge, 1997). This broader conceptualization eschews strict adherence to non-distribution stipulations and includes cooperatives and social enterprises in addition to nonprofit organizations. Keywords: CVSS, Centre for Voluntary Sector Studies, Working Paper Series,TRSM, Ted Rogers School of Management Citation:

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.579
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.057
GPT teacher head0.243
Teacher spread0.187 · 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 teacher head, not a consensus.

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

Citations0
Published2021
Admission routes3
Has abstractyes

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Same topicCooperative Studies and EconomicsFrench-language works237,207