Mending the Acadian Diaspora: Strategies of Remediation in Nicolas Dickner’s <i>Nikolski</i> (2005)
Bibliographic record
Abstract
Dickner’s brilliant, witty first novel finds inspiration in the parody and paradox of the OULIPO writers, Jorge Luís Borges, and Michel Tournier – particularly the latter’s ingenious exploitation of the archetype of inversion. Nikolski’s thematic deep structure, however, derives from Herman Melville’s Moby-Dick and from the stories of Jonah (Jonas, in French) and Noah in the Book of Genesis. Through the mediation of these intertexts, Dickner reflects on the tragic diaspora of the Acadians starting with their violent deportation from the Maritime Provinces in 1755. Three contemporary Acadian protagonists (one may be descended from Caribbean pirates, one is half Native American, and one half Québécois) separately attempt to reconstitute their lost culture. They transcend their initial failures, forsaking paralyzing nostalgia to join new, multiethnic communities of marginalized peoples. Thus Dickner updates the reparative efforts of Longfellow’s Evangeline and Antonine Maillet’s folk epic Pélagie la charrette, with his thoroughly urban, postmodern sensibility.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.034 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".