Bibliographic record
Abstract
How to tell the story of the Haitian earthquake? Ever since 4:53 p.m. on 12 January 2010, this is the question many of Haiti's writers have been asking. In the face of such a catastrophe with widespread death, destruction and suffering, what can writers do? In terms of aftershocks, how have the thematics and representational form of Haitian writing developed in the wake of this seismic event? This article examines responses in Haitian writing to the earthquake through the prisms of a premonitory play entitled Melovivi ou Le Pige ( The Trap) by Franktienne, and of chronicles and essays written by Dany Laferrire, Yanick Lahens and Gina Athena Ulysse, who, this article argues, react to threats to archives and material culture by creating a unique 'aura' of archival documents in the very form of their books themselves 1 .
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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 | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".