Bibliographic record
Abstract
A moving tale of contemporary Haiti told through the intersecting lives of four young people struggling to hold on to hope and their identities amid a militarized coup in the early 1990s. Gold Winner of the 2023 Foreword INDIES Book of the Year Award in the LGBTQ+ Fiction category Vivid and poignant, Spirit of Haiti follows the intersecting lives of four young witnesses to military-ruled Haiti during the early 1990s. Léah, an apparition, rises from the sea like a siren one morning off the coast of Cap Haitien, clothes untouched by water, blue stones wrapped around her neck, eyes blind to light. Soon to be a mother, Carmen returns to Haiti from Canada as if responding to the call of the vodou spirits. Alexis flees the island in search of a land without strife. Finally, there is Philippe, who walks the northern hills alert to ancestral voices still haunting its peaks and valleys. Doing what he must to get by in the tourist trade and now weakened by illness, he struggles to maintain spiritual dignity and a hold on hope. First published in 2003 and shortlisted for the Commonwealth Writers First Book Prize in the Caribbean and Canada region, Spirit of Haiti is a novel about confronting the failings of the human heart and the triumph of memory over despair.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.009 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".