Bibliographic record
Abstract
In this article, Dominique Poulot provides a historical overview of the notion of intangible cultural heritage and its relationship to museum studies in France. He brings the study up to the present day to examine the current impact of intangible cultural heritage on the museums. Since 2006, when France signed the UNESCOConvention for the Safeguarding of Intangible Cultural Heritage, intangible cultural heritage has emerged as an issue of current concern. In the museum world, various institutional intermediaries are being used in order to educate curators about intangible heritage, by way of ICOM France, for example. At the same time, theMission du patrimoine ethnologique(Ethnological Heritage Mission, or MPE) has initiated a collective reflection concerning the new categories and new framework of activities for intangible cultural heritage issues only very recently considered “ethnological” in nature. Hence intangible heritage would seem to be on the agenda of various state administration bodies according to a top-down process characteristic of the centralized tradition of French museum and heritage organizations. The situation has apparently become even more propitious in this regard since a certain number of recent events have served to highlight the fact that the opposition between the notion of ever-changing social space dear to anthropologists and the enclosure of objects conserved at the museum dear to tangible-culture specialists has become a thing of the past.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".