ondan-bundan: inquiring on culture from this and thats
Bibliographic record
Abstract
The installation ondan-bundan: inquiring on culture from this and thats explores the intra- actions within Azerbaijan’s continuously changing identity, by fragmenting projections of Soviet Azerbaijani films onto found objects. This research brings into conversation scenes from the films Arşın Mal Alan (Rza Tahmasib and Nikolay Leshchenko, 1945), Bir Cənub Şəhərində (Eldar Quliyev, 1969) and Ötən İlin Son Gecəsi (Gülbəniz Əzimzadə, 1983) to reflect on the construction of visual narratives as cultural identifiers in Azerbaijan. It combines Homi K. Bhabha’s theory on culture’s hybridity, alongside feminist theories from Nira Yuval-Davis and Giuliana Bruno to propose a textility of culture. One that derives from found remnants, fragments, reconstructions, refractions, and haphazards.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".