Bibliographic record
Abstract
Professeur à l'ESCP Business School, Benoît Heilbrunn conduit une recherche originale en marketing qui mobilise abondement les sources et références en sciences humaines et sociales. Cette orientation scientifique l’a conduit notamment à observer les enjeux de la spiritualité, de la sacralité et de la croyance dans la société de consommation. Auteur de nombreux livres et articles, il questionne régulièrement la jonction entre la religion et les marques en observant que l'économie de ces dernières touche au mystère de la Trinité par trois versants complémentaires d'un dieu absent : un versant « sensoriel » lié aux émanations matérielles du bien de consommation, à ses aspects tangibles et directement préhensibles par le consommateur ; un versant « rhétorique » qui renvoie à la dimension idéologique de la marque, à son positionnement et à sa capacité à véhiculer un imaginaire et des valeurs ; un versant « pragmatique » qui renvoie à l'embrayage de pratiques corporelles et qui s'orchestre notamment à travers des rituels d'achat et de consommation.
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 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.016 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.013 | 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".