Bibliographic record
Abstract
This article’s analysis will revolve around the contemporary literary reconfigurations of the myth of the old West with special attention to the Wild West as a performed space and a performed narrative. Attention will be paid to the reconfiguration of the myth by focusing, in turn, on chuckwagon races as “a synecdoche of the West” (van Herk) and their carnivalesque quality; the myth versus reality debate always accompanying the myth of the Wild West as well as the narrativization of the West; female characters who claim the spotlight of the new West; the ironic treatment of the traditional cowboy icon; and the front stage–back stage relations that contribute to the Wild West’s performativity and the ultimate survival in the postmodern world. The strategies of the myth’s dis- and re-membering as represented in two texts by Aritha van Herk—the short story “Leading the Parade” and the performance piece “Shooting a Saskatoon (Whatever Happened to the Marlboro Man?)”—will be examined to reveal an emergent new Canadian West.
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 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.048 | 0.024 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 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".