LIMINAL SUBJECT ON LIMINAL SPACE: THE REDEMPTIVE JOURNEY IN VALLÉE'S WILD
Bibliographic record
Abstract
Jean-Marc Vallée’s film Wild (2014), adopted from Cheryl Strayed’s memoir From Lost to Found on the Pacific Crest Trail (2012), portrays the real-life story of Cheryl Strayed’s solo hike experience in the Pacific Crest Trail, abbreviated as PCT. The plot of Wild is adapted from a real-life story that takes place on a real long-distance hiking trail that reaches from the United States/ Mexico border to the United States/ Canada border. Reminiscent of the mythical wilderness journeys and road narratives in American culture and literature, Wild presents Strayed’s journey blending the difficulties and gifts of the journey in nature. From the very beginning of the film, as it is presented mainly in the flashbacks or Strayed’s memories that accompany her on her trail in the wild, before this journey, Strayed is a grieving and traumatized woman unable to overcome especially the death of her mother. Towards the end of the film, this journey in nature enables her to heal her wounds, resolve her traumas, find her true self, and be ready to become a part of the culture. From this perspective, the hiking experience of the main character resembles an initiation ritual maintaining change for the ritual subject. This article, using a significant sociological survey on the relation between ritual and liminality provided by Arnold van Gennep and Victor Turner, examines the redemptive change of limen personae, Cheryl Strayed, journeying on a limen space, the wild.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.012 | 0.009 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".