MétaCan
Menu
Back to cohort
Record W4390943701 · doi:10.1108/eor-13-2023-0012

Co-operative leaders need to lead the way on global and local SDG adoption

2022· article· en· W4390943701 on OpenAlex
Daphne Rixon, Fiona Duguid

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

VenueEmerald Open Research · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCooperative Studies and Economics
Canadian institutionsSaint Mary's University
FundersLondon School of Economics and Political Science
KeywordsContext (archaeology)Sustainable developmentBusinessLead (geology)Key (lock)Public relationsAccountingPolitical scienceProcess managementComputer scienceComputer securityLaw

Abstract

fetched live from OpenAlex

This policy brief calls for co-operative industry associations to implement policies that encourage co-operatives to embrace the SDGs in a way that reflects the co-operative difference. In particular, this brief explores why it is important for co-operatives to measure and report on the SDGs and to link the SDGs to the seven principles of co-operatives. We argue that reporting on the SDGs in the context of the seven principles enables co-operatives to illustrate their co-operative difference from investor-owned businesses (IOB) who are increasingly reporting on SDG performance. We identify key recommendations that are critical in facilitating co-operatives’ adoption of the SDGs and in reporting their performance relative to the SDGs and the seven principles.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.461
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.155
GPT teacher head0.396
Teacher spread0.241 · 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