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Modernising Canada's agricultural policies

2008· book-chapter· en· W4246105522 on OpenAlexaboutno aff

Bibliographic record

VenueOECD economic surveys. Canada · 2008
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Economics and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsAgricultureBusinessEnvironmental planningAgricultural economicsGeographyEconomicsArchaeology

Abstract

fetched live from OpenAlex

Modernising Canada's agricultural policiesThe agricultural sector in Canada is relatively large, compared to those in most other G7 countries.In recent years, the federal and provincial governments have undertaken a number of sectoral reforms to meet the competitiveness and environmental challenges that it faces.The federal government has tried to end a marketing monopoly in the barley market and may do so for wheat as well.The next generation of agriculture and agri-food policy is being finalised, and implementation of the first part of a new framework, Growing Forward, has begun.But a steady stream of ad hoc programmes in recent years has had significant budgetary costs and no doubt created moral hazard among farmers.There is scope for further liberalisation in supply-managed sectors, which are heavily protected and subsidised by consumers.Moreover, Canada's bio-energy production, in particular the production of second-generation bio-ethanol (from cellulose), is under pressure in light of less costly bio-energy production overseas.Against this background, governments are striving to ensure the long-term viability of the sector.

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)0.002
metaresearch head score (Gemma)0.004
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: Other
Teacher disagreement score0.230
Threshold uncertainty score0.893

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0080.004
Scholarly communication0.0100.002
Open science0.0020.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0120.001

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 head0.019
GPT teacher head0.167
Teacher spread0.148 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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