Bibliographic record
Abstract
This chapter considers the representation of the straight girl and the queer guy within varying documentary media forms, considering the notions of social agency and performativity. Foregrounding both documentary theory and performance studies, the documentary biographical film drama Carrington (Christopher Hampton 1995, UK), offers a historical precedent in the representation of the straight girl and queer guy, all the while foregrounding notions of devotion and intensity. The context of the social actor is further examined in more recent documentary case studies such as Fag Hags: Women Who Love Gay Men (Justine Pimlott 2005, Canada), My Husband Is Gay (Benetta Adamson 2005, UK) and My Husband Is Not Gay (TLC 2015, US), framing the intense relationships between straight girls and queer guys – in many instances relating legal marriages and questioning issues of fidelity. Also the performative potential of reality television is explored in Would Like to Meet (BBC 2001, UK), Boy Meets Boy (Bravo 2003, US) and Queer Eye for the Straight Guy (Bravo 2003–7, US), through examining the confines and opportunity of television formats.
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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.008 | 0.012 |
| Scholarly communication | 0.018 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.078 | 0.014 |
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".