Nascar, fans et commanditaires : relations médiatiques et commerciales analysées par le biais d’une revue systématique des écrits scientifiques
Bibliographic record
Abstract
Industrie emblématique du sport-spectacle américain et de certaines valeurs traditionnelles des États-Unis, la National Association for Stock Car Automobile Racing (Nascar) s’est développée au fil des décennies à travers des stratégies néolibérales et marchandes où les relations avec les fans et les commanditaires (aussi appelés sponsors) sont centrales. Cette recherche vise donc à dresser, par le biais d’une revue systématique des écrits scientifiques, l’état des connaissances produites sur la Nascar et les relations avec ses fans et ses commanditaires. Trente-quatre références scientifiques, analysées en profondeur, permettent de mettre en lumière la place des marques dans cette industrie et la fidélité qu’ont les fans vis-à-vis de celles-ci, mais également les relations transmédiatiques que ces derniers ont su tisser avec les parties prenantes de la Nascar, et tout particulièrement les pilotes.
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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".