Priming Effects in Explicit and Implicit Memory for Textual Advertisements
Bibliographic record
Abstract
Les effets d’une amorce sur les mémoires implicite et explicite à propos d’un produit placé dans un texte ont été mis à l’épreuve sous deux conditions, l’une où l’attention était orientée vers (encodage intentionnel) ou détournée du produit (encodage incident). Dans la première expérience, les caractéristiques positives d’un produit avaient plus de chances que les négatives d’être restituées, ce qui a conduit à un effet d’assimilation dans une condition témoin. Par contre, lorsque les particularités du produit étaient en amorec, le rappel explicite des caractéristiques négatives augmentait, débouchant sur un effet de contraste. L’impact de l’amorce était limitéà la condition d’encodage intentionnel, ce qui signifiait un effacement de l’information incompatible avec l’amorce. Dans la deuxième expérience, les épreuves de mémoires implicites perceptuelle et sémantique ont montré des effets d’amorce équivalents suite à l’encodage du produit, qu’il soit intentionnel ou incident. Par suite et contrairement à la mémoire explicite, la mémoire implicite du produit n’était pas conditionnée par l’attention. L’identification de ces limites de l’amorçage est utile aux gens de marketing qui envisagent ce consevoir une publicité exploitant les mémoires explicite et implicite d’un produit. The effects of priming on explicit and implicit memory about a product placed within a narrative were tested under conditions in which attention was drawn to (intentional encoding) or away from (incidental encoding) the product. In Experiment 1, positive features of a product were more likely to be recalled than negative features leading to an assimilation effect in a baseline condition. When the product characteristic was primed, however, explicit recall of the negative features increased resulting in a contrast effect. The impact of priming was restricted to the intentional encoding condition reflecting resolution of information incongruent with the prime. In Experiment 2, perceptual and semantic implicit memory tests revealed equivalent priming effects following both intentional and incidental encoding of the product. Thus, unlike explicit memory, implicit memory for the product was not limited by attention. Recognition of these boundary conditions of priming informs marketers intending to design advertising that taps explicit and implicit memory for a product.
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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 | 0.003 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".