L'innovation: une affaire d'Etat: Piloter la réforme face à la III° révolution industrielle
Bibliographic record
Abstract
Abstract : The main hypothesis of this research relies on the discrepancy between the evolution of the state and that of the other components of the socio-economic system as a factor of nations competitiveness. By adopting an evolutionist and historical perspective, the state is analyzed as an actor of the nations' evolution in their ability to absorb technological progress. The framework relies on the northian distinction between organizations and institutions, focusing on innovation's dynamics within public institutions and organizations. Both are analyzed as adaptive systems co-evolving in two temporal dimensions: the braudelian long-term since the Renaissance, and the present short-term of the information technologies revolution. The first part focuses on innovation as a socio-economic process stepping from disruption to continuities. Chapter I put in perspective the evolution of the state and of the technology. Chapter II analyzes what is at stake with the information technologies revolution. Chapter III assesses the role of the state and its evolution in the history of Great Britain and the US. The second part studies what are the possibilities for the state to get transformed (chapter I) drawing on an assessment on the New Public Management movement. The analyze goes on organizations (chapter II) through a comparison between cases of organizational transformation in France and in the US. A compared analysis between the ongoing institutional change in the budgetary framework in France and Canada allows to assess how to link institutional and organizational transformation. As a conclusion, the steering of such a reform appear to be socially feasible and technically mature, but suffers from a lag of evolution at the institutional level where politicians and mainstreams ideas dally in integrating the parameters of the third industrial revolution paradigm.
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 | 0.013 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".