De-familiarizing the familial: unveiling the perverse familial through the narrational aesthetics of trauma and the obscene across seminal independent films
Bibliographic record
Abstract
This interdisciplinary film studies dissertation engages in close readings of four independent texts: Eve's Bayou (1997), Madame Sata (2002), Far From Heaven (2002) and Monster's Ball (2001) through which I analyze the representations of the perverse familial via the narrational aesthetics of trauma and the obscene. My project unveils how social categories of the family, race, sexuality, gender and class are reconstructed and reconstituted as perverse structures, via the narrational aesthetics of trauma and the obscene that operates in these texts. Drawing on an interdisciplinary approach to inform my reading of the films, I infuse film studies textual analysis and genre criticism, with a marinade of black, literary and queer studies. I foreground across four chapters the various styles that these familial texts embody, ranging from the merging of black independent textual concerns with a melodramatic mode in Eve's Bayou, the staging of the queer biopic aesthetics of Madame Sata , a rewriting of 1950's family melodramas in Far From Heaven , and a postmodern drama that evokes the plotting of the 'male weepie,' in Monster's Ball
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.023 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".