La diffusion des NTIC au sein du réseau urbain français et le rôle des acteurs publics
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
The study deals with the ways in which the general public and the government make use of new information and communication technologies. We analyze the physical locations of Internet sites with “fr” as their domain names. The data were provided by the French NIC center (AFNIC). Using this sample (a quarter of all French sites), we find a rather even distribution of French sites in the Paris area plus the other main French cities, and the remainder of France. In addition, we try to enumerate the initiatives of the public actors responsible for the regional planning of the new information and communication technologies. Firstly, we clarify the economic and legal framework in which public actors are obliged to work. Then, we describe the principal projects and the main motivations of the partners involved. In this case, the distribution is much less clear, because rural actors are sometimes more conscious than urban actors about the possibilities offered by new information and communication technologies.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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