When low level of constraint and effectiveness go hand in hand: The example of the 2005 Convention
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
Abstract The year 2022 marks 15 years since the entry into force of the United Nations Educational, Scientific and Cultural Organization’s 2005 Convention on the Protection and Promotion of the Diversity of Cultural Expressions. Among its objectives, this treaty aims at acknowledging the specific nature – economic and cultural – of cultural activities, goods, and services, reaffirming the sovereign right of states to adopt or implement measures they deem appropriate for the protection and the promotion of the diversity of cultural expressions as well as reinforcing international cooperation for more balanced cultural exchanges. Since its adoption, this treaty has been criticized for its low level of constraint. However, data collected over the years show that parties rely extensively on the Convention to undertake diverse initiatives to achieve the treaty’s objectives. Based on concrete examples, this article aims to show that the effectivity of a legal instrument does not only rely on its degree of constraint but also on other factors, including monitoring mechanisms put in place in the context of its implementation.
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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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