Through the I of the camera: Women and autobiography in contemporary European film
Bibliographic record
Abstract
AbstractGiven that contemporary European culture has been fundamentally shaped by issues of memory and history, and haunted by complex and problematic questions of identity, it is significant, if scarcely surprising, that European film production in the last quarter of the twentieth century should have been dominated by autobiographical discourse, by first-person memory narratives in which personal experiences of the past are articulated as a means of attaining a clearer understanding of the present. One of the most fascinating and least studied aspects of this phenomenon is the contribution that has been made by women filmmakers, and the purpose of this article is to provide a brief exploration of this issue. Situating its discussion within the wider parameters of the nature and generic identity of filmic autobiography, it will focus on a number of autobiographical films by women directors, in order both to evaluate the suitability of the genre to their discourse and to identify what insight such films r...
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| 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 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".