Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Any investigation into the impulse toward the heroic narrative in the contemporary American novel must necessarily end with more questions than answers. Saul Bellow and Don DeLillo do not hold the key to a final and complete formulation of the hero. I chose these authors not because they had answers but because they seemed to be asking the question I myself had asked as a literary scholar in an age when certain questions or even categories of questions no longer seem to be asked. It seemed to me rhetorical studies, culture studies, and postcolonial theories, while analyzing valuable "how" concerns had back-benched the "why." Had all literature really become nothing more than something one tells? Were all readers silently nodding their heads in agreement with "just so" on their lips, or else putting the book down having gleaned from their favorite storytellers a handful of facts about seventeenth-century pirate routes or the joual of northern Quebec lumberjacks? Can we read literature now only as a curiosity closet?KeywordsCommunity IdentityNarrative IdentityPostcolonial TheoryNorth American LiteratureHeroic NarrativeThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.025 | 0.002 |
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 it