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Record W2094717570 · doi:10.1108/00070700910992844

Self‐reported and observed behavior of primary meal preparers and adolescents during preparation of frozen, uncooked, breaded chicken products

2009· article· en· W2094717570 on OpenAlexaff
Sarah Elizabeth DeDonder, Casey J. Jacob, Brae Vaughan Surgeoner, Ben Chapman, Randall K. Phebus, Douglas Powell

Bibliographic record

VenueBritish Food Journal · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Safety and Hygiene
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMealProduct (mathematics)Observational studyBusinessFood productsFood preparationOriginalityMarketingFood scienceAdvertisingConsumer behaviourPerceptionPsychologyMathematicsFood safetyStatisticsChemistry

Abstract

fetched live from OpenAlex

Purpose The purpose of the present study was to observe the preparation practices of both adult and young consumers using frozen, uncooked, breaded chicken products, which were previously involved in outbreaks linked to consumer mishandling. The study also sought to observe behaviors of adolescents as home food preparers. Finally, the study aimed to compare food handler behaviors with those prescribed on product labels. Design/methodology/approach The study sought, through video observation and self‐report surveys, to determine if differences exist between consumers' intent and actual behavior. Findings A survey study of consumer reactions to safe food‐handling labels on raw meat and poultry products suggested that instructions for safe handling found on labels had only limited influence on consumer practices. The labels studied by these researchers were found on the packaging of chicken products examined in the current study alongside step‐by‐step cooking instructions. Observational techniques, as mentioned above, provide a different perception of consumer behaviors. Originality/value This paper finds areas that have not been studied in previous observational research and is an excellent addition to existing literature.

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 score0.906
Threshold uncertainty score0.252

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 head0.025
GPT teacher head0.214
Teacher spread0.190 · 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

Citations43
Published2009
Admission routes1
Has abstractyes

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