Politeness Strategies and Address Terms in Igbo and Igala Kinship Cultures
Bibliographic record
Abstract
The work aims at investigating politeness strategies in Igbo and Igala cultures with a view to finding out how these two cultures handle the various strategies, honorifics and address terms in kinship relationships. The theoretical bases of the work are Brown and Levinson’s face-saving view of politeness which draws heavily from Goffman’s concept of face and interaction order. Our findings show that the two cultures under review are conscious of affronts to positive and negative face, favours indirectness and off-record strategies more than bald-on-record strategies. The two cultures also employ culture-specific honorifics and address terms especially in relating with parents, spouses, elder relations, siblings and peers. It is evident from the findings that contrary to what the present day so –called “civilization” may de-culturize people into especially in the use of first names, these two cultures still uphold the inbuilt cultural respect in observing politeness strategies, honorifics and address terms.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".