Standardisation versus cultural adaptation in food advertising: insights from a two-culture market
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article unravels principles of standardisation and cultural adaptation from past literature and empirically tests the applicability of these guidelines to food advertising, in a context in which two cultures, both with strong cultural differences with regard to food, are geographically integrated and share a common industry and market structure, thereby controlling for market and industry structure confounding factors. The study was conducted in the Montreal (Canada) area, comparing food TV ads targeted to two cultural groups—the French and the English Canadians. A total of 123 standardised ads are compared to 182 culture-specific ads (92 French and 90 English). Elements of advertising that are found amenable to standardisation pertain to product information and appeals based on basic positive emotions. Conversely, social and symbolical appeals, as well as appeals based on social emotions, present cultural specificity. Cross-cultural differences are found in culture-specific advertisements in the higher-order benefits associated with food (i.e. health for the English and pleasure for the French). Both benefits reflect global consumer trends and they are as frequently found in standardised ads as they are in corresponding culture-specific advertisements.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it