Mesure de la sophistication des technologies de l'information dans les PME
Bibliographic record
Abstract
Le présent article présente une étude méthodologique relative au concept de sophistication de la technologie de l'information dans le contexte spécifique de la petite et moyenne entreprise. Si l'on désire identifier les effets de la technologie de l'information sur la structure, la stratégie ou encore la performance de ces organisations, if faut être capable de la caractériser dans un but d'opératio- nalisation en tant que variable indépendante, dépendante ou modératrice à l'intérieur d'un cadre conceptuel de recherche. Une première étape consiste donc à élaborer et à valider un instrument de mesure ayant trait au niveau de sophistication de la technologie de l'information dans les PME. Pour cet objectif, une étude empirique fut réalisée auprès de 101 PME manufacturières québécoises.
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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 | 0.015 | 0.080 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".