Bibliographic record
Abstract
This interview was conceived and ran by Anne Garrait-Bourrier, Professor in Cultural Studies at Clermont-Auvergne University and Elisabeth Bouzonviller, Professor of American Literature at Jean Monnet University. This article contains an original interview of the Canadian writer Joseph Boyden, recorded on December 12, 2014, at the University Blaise-Pascal, in Clermont-Ferrand. Joseph Boyden was on an 18 month-European tour for the promotion of his latest novel, The Orenda. The French part of this long tour was organized by his French editor, Albin Michel and more specifically by Francis Geffard, the publishing director of the Terre d’Amérique collection, who was the person who discovered Boyden and imposed him in France, as stipulated in Boyden’s very grateful acknowledgements at the end of the Penguin edition of his first novel. The questions asked mainly deal with Boyden’s The Orenda, hence the necessity to introduce the author and his work and replace this novel in a broader literary context.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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; both teacher heads agree on what is shown here.
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".