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Record W4250868515 · doi:10.32920/ryerson.14638761.v1

Social return on investment at Inspirations Studio

2021· preprint· en· W4250868515 on OpenAlexafffundabout
Agnes Meinhard, Christina Butty, Theresa Morin

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicCommunity Development and Social Impact
Canadian institutionsToronto Metropolitan UniversityVictoria Park
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsStudioPotteryDisadvantagedInvestment (military)BusinessValue (mathematics)PovertyMarketingSmall businessEarningsManagementFinanceEconomicsEconomic growthArtVisual artsPolitical science

Abstract

fetched live from OpenAlex

Inspirations Studio is a “micro-business incubator for low income women who have been impacted by poverty, homelessness, trauma and mental health issues (About Us, n.d).” The Toronto nonprofit social enterprise helps its members ‘learn pottery and business skills so that they can earn income’ (About Us, n.d). The women members are self-employed, operating independent micro-businesses; at the studio they learn to make pottery and to run a business, sell the pottery they make, and use the income from the sales to better their lives. Although the women retain most of the earnings from the sale of their Inpirations-made pottery, they also pay the studio a fee for use of its facilities and clay materials. Because it is business with a social purpose – to teach disadvantaged women to make and sell pottery and by so doing, enhance their well-being, and commercial - to create and sell quality products – it is considered to be a social enterprise. A recent case study of the organization found that, for a relatively low budget operation, Inspirations Studio generates enough benefits to its stakeholders to make it well worth the investment in the social enterprise (Meinhard, Lok & O’Connor, 2014). The case study used a systems-analytic, value-proposition framework to identify the elements and relationships necessary to create and deliver value to the stakeholders of the organization. <div>Keywords: CVSS, Centre for Voluntary Sector Studies, Working Paper Series, TRSM, Ted Rogers School of Management</div>

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.562
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.166
GPT teacher head0.299
Teacher spread0.133 · 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 designTheoretical or conceptual
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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