Bibliographic record
Abstract
CENTRAL ASIA: REDEFINING ITS CULTURAL ROOTS More than a decade after Independence, Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan and Uzbekistan, the Central Asian Republics of the former Soviet Union are still trying to establish a solid continuation of their cultural heritage. During the period of transition, lack of legislation in relation to creative organizations has created confusion and insecurity in the cultural sector, which was augmented by a high level of criminality and a low level of wages. In the previous regime, the Soviet State had provided steady finance for filmmaking and oversaw the education of the filmmakers and in return, controlled every aspect of filmmaking. Following Independence, a new culture began to develop in each of the States with very little creative dialogue with their neighbours. Economic crisis has had its repercussions on the film industries and state financed studios lost their support. Faced with serious social, economical and political...
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".