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Record W277951736

Health and sustainability in the Canadian food system: advocacy and opportunity for civil society.

2012· book· en· W277951736 on OpenAlexaboutno aff
Rod MacRae, Élisabeth Abergel

Bibliographic record

VenueUBC Press eBooks · 2012
Typebook
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsnot available
Fundersnot available
KeywordsCivil societyPublic administrationPolitical scienceSustainabilityFood securityGovernment (linguistics)PoliticsSociologyAgricultureLawGeographyEcology
DOInot available

Abstract

fetched live from OpenAlex

Introduction / Rod MacRae, Elisabeth Abergel, and Mustafa Koc Part 1 -- Paradigms, Scales, and Jurisdictions 1 Effecting Paradigm Change in the Canadian Agriculture and Food Sector: Toward a Multifunctionality Paradigm / Grace Skogstad 2 Alternative Land Use Services and the Case for Multifunctional Policy in Canada / Alison Blay-Palmer 3 The Experience of Canadian Environmental CSOs: Thoughts from the Green Side / Mark Winfield Part 2 -- Lessons from the Canadian Food System 4 The Canadian Biotechnology Advisory Committee: Legitimacy, Participation, and Attempts to Improve GE Regulation in Canada / Elisabeth Abergel 5 Lessons from Twenty Years of CSO Advocacy to Advance Sustainable Pest Management in Canada / Rod MacRae, Julia Langer, and Vijay Cuddeford 6 Breastfeeding Promotion and Social Change in Canada: A Review of Ninety Years of Breastfeeding Policy and Practices / Aleck Ostry and Tasnim Nathoo 7 Canada's Action Plan on Food Security: The Interactions between Civil Society and the State to Advance Food Security in Canada / Mustafa Koc and Japji Anna Bas 8 The Obesogenic Environment and Schools: Have CSOs Played a Role in Shifting the Debate from Individual Responsibility to Structural Factors? / Tony Winson, Rod MacRae, and Aleck Ostry 9 From Green Energy to Smart Growth: Practical Lessons from the Renewable Energy Movement for Agricultural Land Protection and Sustainability Activists / Jose Etcheverry 10 Helping Good Things Grow: Creating Nurturing Polices and Programs for New Farmers through Civil Society-Government Collaboration / Sarah Robicheau Conclusion / Elisabeth Abergel and Rod MacRae Index

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)0.007
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.131
Threshold uncertainty score0.950

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.006
Science and technology studies0.0200.018
Scholarly communication0.0130.005
Open science0.0030.008
Research integrity0.0090.007
Insufficient payload (model declined to judge)0.0190.001

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 head0.209
GPT teacher head0.419
Teacher spread0.210 · 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 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

Citations11
Published2012
Admission routes1
Has abstractyes

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