Principal Ongoing Mutations of Cultural and Informational Industries
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
For over three decades, a group of scholars has developed the Cultural Industries School. 1 Some of the key fi gures, main contours, and diffusion of this school, especially in Europe, Latin America, and parts of Canada, are outlined well enough in the Introduction and in Chapter 2, so they do not need to be repeated here. Instead, this chapter provides an update on a collective research program organized by practitioners of this approach in 2004 at a seminar at MSH Paris Nord. Its participants call this research program "Mutations des CICI" or, translated into English, "Mutations of Cultural, Informational, and Communications Industries." This research project is the next step in a trajectory of research that others and I have carried out for many years under the framework of the cultural industries approach. The goal is to grasp the contemporary mutations affecting the cultural, information, and communications industries. Sometime in the future, we also intend to examine whether it makes sense to distinguish between the now fashionable notion of the creative industries and our focus on the cultural industries. For the time being, however, it can safely be said that we are skeptical that much would be gained by a change in nomenclature at this time.
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 | 0.000 | 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 | 0.000 | 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) | 0.002 | 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