Of Mothers and Others: Decoding Queer Discourses in the Cinema of Xavier Dolan
Bibliographic record
Abstract
This thesis analyses French-Canadian filmmaker Xavier Dolan’s body of work, particularly the films Laurence Anyways (2012), Tom at the Farm (2013), and Mommy (2014). Starting from the notion that Dolan explicitly argues against the queer labelling of his films, the piece explores the content and form of his filmography with a range of theories from film, gender and queer studies, and an emphasis on feminist authors. Gender performance and alternative femininities in Laurence Anyways are discussed through camp. The reading of Tom at the Farm draws parallels with the perspectives on masculinities and bisexual desire found in bromance and buddy films. The analysis of Mommy investigates how queerness embodies both the film’s form and text, possibly placing it in a new New Queer Cinema movement.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".