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Record W6981116827

Dietary restraint : the role of causal attributions / Darlene Flood.

2017· other· en· W6981116827 on OpenAlexfundno aff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2017
Typeother
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsnot available
FundersLakehead University
KeywordsNucleofectionGestational periodHyporeflexiaArticular cartilage damageTSG101Fusible alloy
DOInot available

Abstract

fetched live from OpenAlex

Previous studies have indicated that restrained and unrestrained eaters
\nexhibit dififerent eating patterns in response to preloading or no preloading. After
\na preload, restrained eaters tend to exhibit counterregulatory behaviour, where
\nthey consume more and unrestrained eaters tend to exhibit normal regulatory
\nbehaviour, where they consume less. The present study was designed to examine
\nvsdiether these patterns are due to different attributional styles exhibited by
\nrestrained and unrestrained eaters. In Phase 1, undergraduates enrolled in
\nIntroductory Psychology were administered the Restraint Scale, the Beck
\nDepression Inventory, and the Eating Attributional Style Questionnaire. It was
\nhypothesized that restrained eaters would attribute Mure to maintain dietary
\nrestraint in hypothetical situations to internal, stable, and global causes which are
\nassociated with the abstinence violation effect (AVE). Contrary to expectations.
\nMure to maintain restraint was attributed to external and global causes. For
\nPhase 2, 100 female subjects were selected fi*om the above pool of subjects based
\non their scores on the questionnaires. Using a matching procedure, subjects were
\nrandomly assigned to one oftwo conditions: preload or no preload. In both
\nconditions, subjects' cookie consunq)tion was measured in a taste test. The results,
\nusing a median split analysis, indicated that an external orientation to food
\nconsunq)tion was a better predictor ofthe preloading effect than the dimension of
\nrestraint.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.395
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.046
GPT teacher head0.303
Teacher spread0.257 · 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 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
Published2017
Admission routes1
Has abstractyes

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