<scp>Claire Lefebvre</scp>, <i>Creole genesis and the acquisition of grammar: The case of Haitian Creole</i>. (Cambridge studies in linguistics, 88.) Cambridge & New York: Cambridge University Press, 1998. Pp. xviii, 461. Hb £45.00, $74.95.
Bibliographic record
Abstract
In the continuing debate on the origins of creole languages, Lefebvre has long taken a strong stance in favor of an essential contribution of the West African substratum to the grammatical makeup of Haitian Creole; thus, she opposes both a universalist account along the lines of Derek Bickerton's bioprogram (e.g. 1984), and Robert Chaudenson's superstratist approach (e.g. 1992). Lefebvre's present book summarizes the main findings of two decades of research by herself and others (such as John Lumsden and Anne-Marie Brousseau) through various projects carried out at the Université du Québec à Montréal. The overall aim of this enterprise has been to test the hypothesis that adult speakers of the substratum languages, in creating a new creole language, use the properties of their native lexicons as well as the parametric values and semantic interpretation rules of their native grammars (9). In order to test this hypothesis, Haitian Creole is compared, on the one hand, with its superstratum or lexifier language, French, and on the other hand, with Fongbe (or Fon, belonging to the Gbe cluster of Kwa languages), as a representative of the substratum. Most of the book consists of the presentation of such three-way comparisons in regard to nominal structure (Chap. 4), the marking of tense, mood, and aspect (Chap. 5), pronouns (Chap. 6), clausal operators and the structure of the clause (Chaps. 7–8), the properties of verbs (Chap. 9), derivational affixes (Chap. 10), compounds (Chap. 11), and parametric options (Chap. 12). In all these areas, striking similarities between Haitian and Fongbe are revealed.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.058 | 0.023 |
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".