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Record W2156162066 · doi:10.18352/ijc.206

Innovating through commons use: community-based enterprises

2009· article· en· W2156162066 on OpenAlex
Fikret Berkes, Iain J. Davidson‐Hunt

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of the Commons · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicConservation, Biodiversity, and Resource Management
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsCommonsIndigenousIndex (typography)Session (web analytics)Class (philosophy)BusinessPolitical scienceSociologyPublic relationsComputer scienceLawWorld Wide WebAdvertising

Abstract

fetched live from OpenAlex

Community-based enterprises are of interest to commons researchers because they offer a means to study how local institutions respond to opportunities, develop networks, new skills and knowledge, and evolve. Nevertheless, the relationship between commons and community-based enterprises has received little attention, with a few exceptions (<a class="bibr" href="/index.php/ijc/article/view/206/107#r7">Bray et al. 2005</a>; <a class="bibr" href="/index.php/ijc/article/view/206/107#r5">Berkes and Davidson-Hunt 2007</a>). Therefore, we decided to organize a conference session and explore this relationship in more detail. We invited a diverse array of scholars and practitioners active with indigenous enterprises, community development, community forestry, ecotourism and conservation-development projects. This Special Issue includes peer-reviewed and edited versions of seven of the papers (plus two additional invited papers) presented at the two panels on “Innovating through commons use: community-based enterprises”, at the 12th Biennial Conference of the International Association for the Study of the Commons (IASC 2008) in Cheltenham, England.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.105
Threshold uncertainty score0.308

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.043
GPT teacher head0.267
Teacher spread0.224 · 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