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Record W2891061669 · doi:10.3148/70.2.2009.66

<i>Paint Your Plate:</i> Effectiveness of a Point-of-purchase Display

2009· article· en· W2891061669 on OpenAlexvenueaboutno aff
Cynthia K. Colapinto, Darshaka Malaviarachchi

Bibliographic record

VenueCanadian Journal of Dietetic Practice and Research · 2009
Typearticle
Languageen
FieldMedicine
TopicConsumer Attitudes and Food Labeling
Canadian institutionsnot available
Fundersnot available
KeywordsConfidence intervalPoint of saleOddsAdvertisingTelephone interviewMedicineOdds ratioDuration (music)Point (geometry)Grocery storeTelephone numberComputer scienceBusinessWorld Wide Web

Abstract

fetched live from OpenAlex

PURPOSE: This study was conducted to determine consumer understanding and retention of nutrition information presented at grocery stores during the Paint Your Plate campaign via two approaches: interactive display events and brochure distribution. METHODS: Data were collected at 17 grocery stores in northern Ontario. Eleven stores held interactive display events with public health staff, a display, resources, and food samples. Six stores only distributed brochures. A total of 688 participants completed a baseline questionnaire, and 432 consented to a three-month follow-up telephone call. Of these, 201 were randomly selected to participate. RESULTS: Participants at interactive display events were six times more likely than participants receiving brochures to identify a serving size of fruit and vegetables (odds ratio [OR]=5.88; 95% confidence interval [CI]: 4.05, 8.54) and 23 times more likely to identify the recommended number of servings of fruit and vegetables (OR=22.67; 95% CI: 14.29, 35.98). However, at follow-up, there was no significant difference between type of event and the ability to answer correctly. CONCLUSIONS: Interactive displays increased immediate knowledge but failed to increase retention, a finding that suggests consistent presence of the message is needed to reinforce initial understanding and retention. More emphasis should be placed on directing funding toward increasing the frequency and duration of promotional efforts.

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)0.005
metaresearch head score (Gemma)0.004
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 score0.471
Threshold uncertainty score0.459

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
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 integrity0.0000.001
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 head0.063
GPT teacher head0.403
Teacher spread0.339 · 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

Citations8
Published2009
Admission routes2
Has abstractyes

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