Different drifters: disability and illnessin contemporary U.S. road films
Bibliographic record
Abstract
El objetivo principal de este artículo es analizar históricamente la representación de la enfermedad en las road movies norteamericanas, para examinar cómo la presencia de cuerpos diferentes rompe las expectativas genéricas y conlleva una revitalización del cine de carretera. Tras explorar los motivos del aumento de la representación de personas enfermas en las road movies, este artículo analiza la contribución de la presencia de viajeros enfermos al género de carretera en un corpus representativo del periodo 1990-2010: Una Historia Verdadera, A la Vuelta de la Esquina, Vivir hasta el Fin, Sólo ellas... los chicos, a un lado, Mi Idaho Privado, Homer & Eddie y Rain Man. Se analiza la visibilidad creciente, aunque no siempre positiva en este género, de estas minorías escasamente representadas, y se evidencia cómo la enfermedad aboca a los protagonistas de road movies contemporáneas a su marginación, a echarse a la carretera. Estas road movies ofrecen una identificación del espectador potencialmente mayor y más positiva y una representación social más democrática, a la vez que suponen una clara revitalización del género. the representation of illness in the US American road movie exploring how the presence of different, diseased bodies may shatter generic expectations and subsequently result in the genre’s revitalization. After exploring the factors accounting for the increasing representation of sick people in the contemporary road movie, a sample of representative road films (The Straight Story, Around the Bend, The Living End, Boys on the Side, My Own Private Idaho, Homer & Eddie and Rain Man) is analysed to understand the contribution of ill drifters during the 1990-2010 period. This contribution mainly focuses upon the increasing, though not always positive, visibility of this underrepresented minority in this genre and evidences how illness and impairment may throw social outcasts on a drifting journey. Since the 1990s the road genre is fighting against the discrimination of contemporary US society against ill people on the big screen. In doing so, it offers a potentially wider and more positive viewer identification and a more democratic social representation and, at the same time, shows a significant revitalization as a genre.
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 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".