Social Attitudes Towards Bedouin and Sedentary Dialects in Central Najd
Bibliographic record
Abstract
This study examines whether Bedouins in Najd are converging on the sedentary dialect due to social attitudes towards these two dialects. It is hypothesized that the social attitudes towards the sedentary dialect will be positive, as opposed to those of the bedouin dialect. The social attitudes towards the dialects will be measured using indirect approach, via the verbal-guise test. In this test, the implicit attitudes of individuals towards a language/dialect are measured. Participants are presented with stimuli (short speech excerpts) from both dialects and asked to rate each speaker on a list of selected status and solidarity traits. The results show that the sedentary dialect ranked higher than bedouin dialect in civilization, education, open-mindedness, and expressing emotions. The bedouin dialect, however, ranked higher only in self-confidence. Thus, it is stated that the bedouins are converging on the sedentary dialect because of Najdis’ social attitudes towards the sedentary dialect.
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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 | 0.001 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".