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Record W7043084735

Scaling Up: The Convergence of Social Economy and Sustainability - Sellsheet

2016· other· en· W7043084735 on OpenAlexaboutno aff

Bibliographic record

VenueAUSpace (Athabasca University) · 2016
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsAllianceSustainabilityConvergence (economics)George (robot)Social change
DOInot available

Abstract

fetched live from OpenAlex

The book presented in this sellsheet and recently published by Athabasca University Press examines the potential of the social economy to transform the systems that make our current ways of life unsustainable. The book draws extensively from research conducted by members of the BC-Alberta Social Economy Research Alliance (BALTA) and others over the 2006-2012 period. It is co-edited by BALTA researchers: Dr. Michael Gismondi of Athabasca University, Dr. Mary Beckie of the University of Alberta, Dr. Sean Connelly of Otago University (New Zealand) and Dr. Mark Roseland of Simon Fraser University. Other BALTA associated researchers who contributed chapters were: John Restakis of the B.C. Co-operative Association, Dr. Julie MacArthur of the University of Auckland, Dr. Lynda Ross and Juanita Marois of Athabasca University, George Penfold and Terri MacDonald of Selkirk College, Noel Keough and Erin Swift-Leppäkumpu of the University of Calgary, Sean Markey and Freya Kristensen of Simon Fraser University, and Stewart Perry of the Canadian Centre for Community Renewal.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.071
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
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.007
GPT teacher head0.222
Teacher spread0.215 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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