Citius, Altius, Fortius: Red Queen Effect dans l’industrie des appareils photographiques numériques (1994-2011)
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
L’objectif de cet article est d’étudier la dynamique de Red Queen Effect (RQE) à travers un prisme particulier : la dimension concurrentielle spécifique, i.e. une caractéristique du produit sur laquelle se focalise la concurrence. Dans notre cas, il s’agit de la résolution en termes de megapixels des appareils photographiques numériques (1994-2011). Les résultats soulignent que la vitesse d’évolution de la tendance centrale de l’industrie, ainsi que la dispersion des positions concurrentielles par rapport à cette tendance centrale de l’industrie influencent la dynamique de RQE. Il apparaît qu’aller toujours plus vite, plus haut n’est paradoxalement pas bénéfique pour l’industrie.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.023 | 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 it