Bibliographic record
Abstract
Theorists who study the formulation of the hero have identified that the appearance of the hero varies depending on the time and place they are needed. Yet, the function of hero archetypes, such as Joseph Campbell’s monomyth, have reinforced traditional Caucasian masculine male mythic ideologies in young-adult fiction. Reconfiguring the idea of the hero to question its masculine bias and include a female androgynous heroic paradigm will expand the limited classification of “hero” as the hero is encouraged to hone both her masculinity and femininity. This project focuses on a hero with both an androgynous personality and an Indigenous heritage. These aspects of my project push back against the gender and cultural norms often associated with heroic journeys in Western culture. Throughout this thesis, I formulate a more accepting form of identity by mapping an encompassing version of the hero’s journey that pushes the boundaries of classic “heroism” but still utilizes the familiar and effective pattern of the heroic journey of the self by comfortably living in the what I am titling “grey space”. By illustrating the fluidity of identity, young readers can relate to a heroic character who encompasses more than the traditional role outlined by Campbell.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".