La participation des consommateurs aux campagnes publicitaires : ses formes, ses avantages et ses limites
Bibliographic record
Abstract
Depuis l’avènement du Web 2.0 s’est développé le marketing participatif, qui vise à faire des consommateurs des acteurs du marketing des organisations. On observe notamment un fort développement des opérations qui ont pour but de faire participer les consommateurs à la création ou au choix des publicités. Cet article tente de répondre à deux questions fondamentales : pourquoi s’engager dans une opération publicitaire participative et comment le faire de manière efficace? Après avoir présenté les différentes formes que peut revêtir une opération de publicité participative, nous mettons en évidence les avantages potentiels, mais également les limites et les risques d’une telle opération, ainsi que ses conditions de succès.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".