MétaCan
Menu
Back to cohort
Record W7052727596

Social Enterprise: A Portrait of the Field

2010· report· en· W7052727596 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIssue Lab (Candid) · 2010
Typereport
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsSocial entrepreneurshipSocial enterpriseField (mathematics)AllianceSocial economyService (business)PortraitSurvey data collectionEntrepreneurship
DOInot available

Abstract

fetched live from OpenAlex

The Social Enterprise Alliance recently partnered with Community Wealth Ventures and Duke University's Center for the Advancement of Social Entrepreneurship to assess the state of social enterprise in the nonprofit sector in the United States and Canada. The survey effort, which was funded by REDF, was designed to advance the field by identifying trends and best practices among nonprofit organizations engaged in social enterprise activities.For the purposes of the survey, "social enterprise" was defined according to the definition developed by the Social Enterprise Alliance: "An organization or venture (within an organization) that advances a social mission through market-based strategies. These strategies include receiving earned income in direct exchange for a product, service or privilege." Survey respondents were identified from multiple sources, including the partners' databases, and represented a broad range of organization types, sizes and geographic locations. In all, 740 organizations completed the survey. These included organizations that operate a social enterprise, are considering doing so, or are unfamiliar with social enterprise. In this report, we take a deeper look at the survey results, which were originally released in 2009. We also present in-depth profiles of some of the responding organizations.The survey found that the number of social enterprises launched each year has grown steadily since the 1970s, with the most rapid growth occurring during the 1990s and early 2000s. The findings provide empirical data to affirm a trend noted by several researchers and nonprofit leaders in recent years: the blurring of lines between nonprofit and for-profit entities. Nonprofits are becoming more "business-like" in their strategies and incomegenerating activities, while for-profits show an increasing tendency to embrace and advance important social and environmental causes.1Of course, the impact of the 2008-09 recession on social enterprise is yet to be seen and could not be reflected in the survey. The fiscal challenges brought on by the recession might prompt more organizations to consider additional routes for generating added revenues, or it could cause them to delay taking the plunge because of financial uncertainty. Only time, and further research, will tell.Regardless of what happens in the near term, however, the survey results indicate that the trend in recent years has been toward increasing consideration of social enterprise as a route to organizational sustainability and growth.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.395
Threshold uncertainty score0.993

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 communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.3700.000

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 head0.014
GPT teacher head0.322
Teacher spread0.308 · 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