MétaCan
Menu
Back to cohort
Record W7098946903

Direct Correspondence to:

2014· article· en· W7098946903 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant chemical constituents analysis
Canadian institutionsnot available
Fundersnot available
KeywordsCitizenshipImmigrationFarm workersAgricultureEthnic groupOccupational safety and health
DOInot available

Abstract

fetched live from OpenAlex

The horticulture industry in British Columbia has long depended on the work of immigrant Indo-Canadians. In 2004 however, the province joined the federal Seasonal Agricultural Workers Program, which brings workers from Mexico and the Caribbean to Canada on a temporary basis, for a maximum of 8 months per year. This paper will present some initial findings on how citizenship status and linguistic and cultural differences may contribute to farm workers ’ experiences of occupational health and safety on BC farms. The incorporation of foreign workers into the horticultural labour force, in addition to revisions of provincial employment standards and workplace health and safety legislation, poses new and important questions regarding worker health and safety on British Columbia’s farms. This research seeks to examine how the layers of citizenship status and ethnicity impact worker health and safety in an industry already ranked the most dangerous and precarious after mining and construction at the federal level (Basok, 2002). The entry of British Columbia into Canada’s Seasonal Agricultural Workers

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient 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 score0.099
Threshold uncertainty score0.142

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.9010.692

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 head0.010
GPT teacher head0.197
Teacher spread0.187 · 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; the direct Gemma label and the distilled Codex classifier 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
Published2014
Admission routes1
Has abstractyes

Explore more

Same topicPlant chemical constituents analysisFrench-language works237,207