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Record W1976702625 · doi:10.1080/08870440802491629

Reducing overestimated intentions and expectations for physical activity: The effect of a corrective entreaty

2008· article· en· W1976702625 on OpenAlexaff
Jennifer Burgess, John C. Spence, T. Cameron Wild

Bibliographic record

VenuePsychology and Health · 2008
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsUniversity of AlbertaPolicyWise for Children & Families
Fundersnot available
KeywordsPsychologyPhysical activitySocial psychologyApplied psychologyCognitive psychologyPhysical medicine and rehabilitationMedicine

Abstract

fetched live from OpenAlex

We assessed whether intentions and expectations formed in a hypothetical physical activity situation are different from those formed in a real situation; and whether the intentions and expectations of participants who are hypothetically given a free pass to attend a fitness class to better match their behaviour if they are administered a corrective entreaty (CE), than if they are not. In two separate studies, undergraduate university students were randomised into three groups: (a) Hypothetical (H); (b) Hypothetical with CE (HE) and (c) Real (R), and were asked to rate their intention and expectation to use a fitness pass. As hypothesised, significantly more participants expected that they would use the free fitness pass in the H group compared to the R group in both studies. Significantly fewer participants in the HE condition expected to use their free pass compared to the H group in Study 2. Also, significantly more corresponding expectation-behaviour relationships were found in the HE and R groups compared to the H group in both studies. Administering a CE influenced expectations formed in a hypothetical situation making them more similar to expectations formed in a real situation, and increased the specificity of tests of correspondence between expectation and behaviour.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.785
Threshold uncertainty score0.355

Codex and Gemma teacher scores by category

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

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 head0.125
GPT teacher head0.505
Teacher spread0.380 · 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 teacher head, 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

Citations5
Published2008
Admission routes1
Has abstractyes

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