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Record W4247900495 · doi:10.32920/ryerson.14657904.v1

Farming alone : Canada's small farmers as key stakeholders in the federal government's agricultural policies

2021· preprint· en· W4247900495 on OpenAlexaffabout
Amanda Shankland

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Economics and Policy
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsAgricultureGovernment (linguistics)BusinessInternational tradeCommercial policyAgricultural policyAgricultural economicsEconomic policyEconomicsGeography

Abstract

fetched live from OpenAlex

The Canadian agricultural sector has generally profited from trade policies under the North American Free Trade Agreement (NAFTA) and the agricultural rules under the World Trade Organization (WTO). Small and medium sized farms in Canada, however, have not benefited as expected from these agreements. Farmers are an important part of the Canadian economy and Canadian society, but they are facing a financial crisis. Their continued survival in the current era of globalized trade depends, to some degree, on their ability to voice their perspective and to be engaged in policy-making. This thesis explores how farmers perceive the effects of Canada's trade agreements on their businesses and how they have responded based on those perceptions. By providing a better understanding of how farmers perceive Canada's trade agreement to have affected them it also aims to make recommendations to policy makers regarding the importance of including farmers in the policy processs.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score0.610

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0330.010
Scholarly communication0.0110.003
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.045
GPT teacher head0.210
Teacher spread0.165 · 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 designQualitative
Domainnot available
GenreEmpirical

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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Same topicAgricultural Economics and PolicyFrench-language works237,207