Investigation of Speech Acts of the Provisional Agreement of Intent
Bibliographic record
Abstract
This study investigated the provisional agreement of intent or the so called (Atwa) as a means of reconciling tribal disputes and conflicts from a socio-pragmatic perspective. The data consisted of forty provisional agreement documents on car accidents occasions, three video-recorded interactions and information collected via personal contacts with twelve interlocutors. The video-recorded materials and documents were categorized in accordance with politeness speech acts. The interviews concentrated on the personal details of the interlocutors in order to specify the main characteristics of those people and why they were chosen for this mission. This research finds out that frequently exchanged politeness strategies in the provisional agreement interaction include request, apology, honorifics, offering, compliment and thanking. Additionally, the researchers also found out that age, level of education, social rank, religion and socio-economic status were the sociolinguistic variables behind choosing the interlocutor.
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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 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".