Bibliographic record
Abstract
The focus of this paper is on request responses by Cameroon French speakers. Data were collected from 81 French-speaking Cameroonian university students. The analysis focused on the types of request responses (preferred, dis-preferred or open-ended) and the types and linguistic realizations of the speech acts (head acts and external modifiers) used to respond to requests. Request response strategies were also examined in terms of rapport management. The results showed that the participants mostly used compliance-responses. It was also found that positive responses to requests were mostly realised using combinations of agreements and/or promises to perform the requested act and external modifiers, while negative responses to requests were realized using combinations of refusals and/or reprimands and external modifiers. The few cases of open-ended responses to requests displayed combinations of aspects of compliance and elements non-compliance responses. The analysis also revealed social variation in the use of the three types of request responses. While the study expands the scope of research on the pragmatics of Cameroon French, it calls for further research on request responses. Article visualizations:
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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 | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".