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Record W7051982749

Pulse consumption in Canada: analysis of pulse consumption in the Canadian Community Health Survey

2011· dissertation· en· W7051982749 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2011
Typedissertation
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101Gestational periodHyporeflexiaDiafiltrationLiquationArticular cartilage damage
DOInot available

Abstract

fetched live from OpenAlex

Pulses are nutrient dense foods that possess many beneficial effects. The purpose of this project was to examine the prevalence and effect of pulse consumption on nutrient intake in Canadian adults (≥ 19 y). Analysis was performed on data (N = 20,156) from the 2004 Canadian Community Health Survey (Cycle 2.2). Respondents were divided into groups based on pulse consumption and levels of intake and the association between nutrient intakes and pulse consumption was examined. Analysis revealed that thirteen percent of Canadians consumed pulses on any given day, and individuals with higher pulse intakes had higher intakes of macronutrients as well as enhanced micronutrient intake. Although pulses are generally low in sodium, its intake also was higher in pulse consumers. These data indicate that pulse consumption supports dietary advice that pulses be included in healthful diets. Further studies will be necessary so that dietary advice to increase consumption of pulses will maximize their nutritional benefits.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.134

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.010
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.037
GPT teacher head0.225
Teacher spread0.188 · 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 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
Published2011
Admission routes1
Has abstractyes

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