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Record W6922369105 · doi:10.1139/cjps2012-186

Review: Industry levy-funded pulse crop research in Canada: Evidence from the prairie provinces

2013· article· en· W6922369105 on OpenAlexaboutno aff

Bibliographic record

VenueBioOne Complete (BioOne) · 2013
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)Pulse (music)Cash cropProduction (economics)AgricultureCroppingCrop

Abstract

fetched live from OpenAlex

Carew, R., Florkowski, W. J. and Zhang, Y. 2013. Review: Industry levy-funded pulse crop research in Canada: Evidence from the prairie provinces. Can. J. Plant Sci. 93: 1017-1028. Since the 1970s the prairies provinces have become a major producer of pulse crops, attributed to diversified cropping systems and the adoption of improved cultivars. This article reviews pulse production trends and research funding for pulse crop research, emphasizing both the contribution of governments and public research institutions/industry arrangements in shaping the growth of the pulse sector. The expansion of pulse production has not been associated with rapid increases in publicly funded research. The study found that industry-/producer-funded research as a share of pulse farm cash receipts has been larger in Saskatchewan and Manitoba than in Alberta. Moreover, the unique consortium arrangement of funding pulse research in Alberta by the provincial government has resulted in larger research intensities than for provincial government funding in Saskatchewan or Manitoba. Furthermore, the intellectual property protection of pulse cultivars since the enactment of the Plant Breeders' Rights Act in 1990 has increased Canadian producers' access to field pea cultivars developed by foreign seed companies.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.094
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.689
GPT teacher head0.429
Teacher spread0.261 · 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 designObservational
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
Published2013
Admission routes1
Has abstractyes

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