Bibliographic record
Abstract
English This study examined whether gender, ethnic group, age, years in Canada, level of education and country where educated influenced the acculturation process for Iraqi immigrants to Canada. For the 153 participants in this study, a continuing strong identification with traditional values was found to exist irrespective of differences in demographic factors. French La présente recherche s’intéresse à l’influence du genre, du groupe ethnique, de l’âge, du nombre d’années au Canada, du niveau de scolarisation et du pays dans lequel la scolarisation a été effectuée sur le processus d’acculturation vécu par les immigrants d’origine irakienne établis au Canada. Chez les 153 participants à l’étude, le maintien d’une forte identification aux valeurs traditionnelles se présente de façon indépendante des différences sociodémographiques. Spanish Se examina si el género, el grupo étnico, la edad, años en Canadá, nivel de educación, y país donde fueron educados influye en la aculturación de inmigrantes iraquíes en Canadá. Se halla que respecto a los 153 participantes en este estudio, la fuerte identificación con valores tradicionales continúa, independientemente de los factores demográficos.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".