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Record W7022294349

[no title]

2021· other· en· W7022294349 on OpenAlexfundaboutno aff

Bibliographic record

VenueDirectory of Open access Books (OAPEN Foundation) · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of AlbertaLakehead University
KeywordsCivil societyVariety (cybernetics)Corporate governanceFood systemsFood policyFace (sociological concept)Environmental governance
DOInot available

Abstract

fetched live from OpenAlex

This book offers insights into the governance of contemporary food systems and their ongoing transformation by social movements.
\nAs global food systems face multiple threats and challenges there is an opportunity for social movements and civil society to play a more active role in building social justice and ecological sustainability. Drawing on case studies from Canada, the United States, Europe, and New Zealand, this edited collection showcases promising ways forward for civil society actors to engage in governance. The authors address topics including: the variety of forms that governance engagement takes from multi-stakeholderism to co-governance to polycentrism/self-governance; the values and power dynamics that underpin these different types of governance processes; effective approaches for achieving desired values and goals; and, the broader relationships and networks that may be activated to support change. By examining and comparing a variety of governance innovations, at a range of scales, the book offers insights for those considering contemporary food systems and their ongoing transformation.
\nIt is suitable for food studies students and researchers within geography, environmental studies, anthropology, policy studies, planning, health sciences and sociology, and will also be of interest to policy makers and civil society organizations with a focus on food systems.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Open science, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.317
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0120.008
Open science0.0230.015
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.3070.007

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 head0.145
GPT teacher head0.454
Teacher spread0.309 · 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; both teacher heads agree on what is shown here.

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
Published2021
Admission routes2
Has abstractyes

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