Bibliographic record
Abstract
FROM PARTICIPANT TO OBSERVER: AUTOBIOGRAPHIC DISCOURSE IN THE FILMS OF JERZY SKOLIMOWSKI IN his native Poland Jerzy Skolimowski is regarded as an artist who conveyed his life and persona on screen more effectively than any other Polish filmmaker: the ultimate autobiographer in and for Polish cinema. This paper attempts to establish how Skolimowski managed to convince his viewers that his films are about him, and how his self-portrait evolved over the years. Before I move to discussing Skolimowski's films and his life, it is worth briefly presenting the concept of autobiography I will use here. Following authors such as Roy Pascal, Jerome Hamilton Buckley and Philippe Lejeune, from the times he revised his notion of autobiographical pact, I regard autobiography not so much as a matter of truthful representation of one's persona and life but of the impression effected by the autobiographer on his reader (see Pascal 1960; Buckley...
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.013 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| 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".