Queering the Rural in Contemporary Argentine Cinema: Taekwondo, Esteros, and Como Una Novia Sin sexo
Bibliographic record
Abstract
In queer social histories, the city has been privileged as a normative space for queer identity and social progress to be actualized. Compared with urban spaces, rural spaces continue to be perceived as always dangerous and antagonistic for people who identify as queer. In cinema with queer images, this narrative of the rural as hostile is being challenged by films with queer images that contain positive narratives within a rural or non-urban milieu. In other words, these films are presenting counter-narratives to what scholar Jack Halberstam has called metronormativity. Under a metronormative optic, it is assumed that queer people in a rural space will adopt the spatial narrative of movement from that rural space to an urban space. In 2016, three Argentine films were released that challenged metronormative assumptions: Marco Berger and Martín Farina’s Taekwondo, Papu Curotto’s Esteros, and Lucas Santa Ana’s Como una novia sin sexo / Bromance. Through the representation of queer desire in rural spaces, these films offer a counter-narrative to the privileging of the urban in queer sociality. Through close readings of these three films that take into consideration sexual fluidity, bodily experience, and their intersections with natural elements and iconography, it is evident that there is a contemporary impulse to cinematically convey queer rurality, an understudied and overlooked phenomenon.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".