Bibliographic record
Abstract
This thesis paper was written in support of the short documentary film Ash, a sociocultural exploration of two Seoul punk venues and the scenes that formed around them. Ash is a film that co-opts the music documentary form in order to re-examine ideas surrounding cultural and gender norms. It follows no strict genre rules and often relies on punk style and humour to maintain a greater sense of verisimilitude. In Ash we learn about people struggling to assert their identities against the oppressive narrative of a dominant culture, about how they eschew simple satisfactions in the struggle to pursue individual happiness. Defying stereotypes of race, gender, or cultural expectations, it is a film of hope and purpose. It is a story about living a life within a closed system. Above all else, Ash is a story of struggle, triumph, and defeat. An elegy to the loser’s victory.
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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.012 | 0.035 |
| Scholarly communication | 0.014 | 0.019 |
| Open science | 0.002 | 0.019 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.015 | 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".