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Record W2650700640

Mapping the Social Economy in British Columbia and Alberta: Trends, Patterns, New Directions

2009· article· en· W2650700640 on OpenAlexafffundabout
Julia Affolderbach, Mike Gismondi

Bibliographic record

VenueAUSpace (Athabasca University) · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicNonprofit Sector and Volunteering
Canadian institutionsAthabasca University
FundersAgriculture and Agri-Food CanadaEdmonton Community FoundationSimon Fraser UniversitySocial Sciences and Humanities Research Council of CanadaUniversity of AlbertaRoyal Roads UniversityAthabasca University
KeywordsAllianceEconomySocial economySustainabilityScope (computer science)Diversity (politics)Snapshot (computer storage)Political scienceRegional scienceGeographyEconomics
DOInot available

Abstract

fetched live from OpenAlex

The BC-Alberta Social Economy Research Alliance (BALTA) is collecting information on the scope and scale of the social economy in British Columbia and Alberta. As part of this research endeavor, the BALTA Mapping project conducted an online survey in 2008. This paper provides a first snapshot of the social economy in British Columbia and Alberta based on information collected with the BALTA mapping online survey. It reflects on research decisions and identifies some challenges in surveying the sector. While the mapping project is ongoing, data collected so far illustrate the diversity of the sector and underline its importance for individuals, communities and the economy. The paper sets out some preliminary patterns and provides analysis of the role of the sector as it impacts gender and minorities, its engagement with market practices and the emergence of the environment and sustainability as a social economy mission and practice.

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)0.001
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.190

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.016
Science and technology studies0.0030.002
Scholarly communication0.0030.001
Open science0.0010.002
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 head0.017
GPT teacher head0.231
Teacher spread0.214 · 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

Citations1
Published2009
Admission routes3
Has abstractyes

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