Armenian Ethnic Orientation Questionnaire–Revised
Bibliographic record
Abstract
The purpose of this study was to report the development of a shorter revised version of the 57-item Armenian Ethnic Orientation Questionnaire. Data from two different independently conducted studies were presented. One of the studies used a convenient sample from Pasadena, California (n = 155) composed of Armenian adolescents (48% girls, 52% boys; with a mean age of 15.6 yr., SD = 1.2) who attended public schools. The second study used a convenient sample from Toronto, Ontario (n = 108) composed of community members at large (48% women, 52% men; with a mean age of 34.0 yr., SD = 15.3). A revision of 15 items rated on a 6-point scale showed good scale score reliability and construct validity. In both studies, scores on the revised version differentiated native-born from immigrant groups and were correlated with more ethnic behaviors and greater involvement.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".