Bibliographic record
Abstract
Abstract: This paper explores factors responsible for sociocultural integration of various groups of newcomers. In developing this model, which focuses on strengths and weaknesses of both individual and community, I borrow from social capital, human capital, clinical psychology, and resiliency perspectives. The data source is administrative data of the YMCA of Southwestern Ontario. The results of this study show that ethnic origin and individual and community assets are fundamental factors in sociocultural integration. However, the most important factor for sociocultural integration of this group of newcomers is their individual assets. Inclusion of individual assets levels out the sociocultural differences associated with ethnic origins, entry status, and length of residency. In addition, the assets provided by the host community also play an important, albeit weaker, effect on the integration process. Furthermore, personal and community assets interact such that, the greater the community resources available to newcomers, the greater the impact of personal resources on the sociocultural integration of newcomers. Résumé: Cet article explore les facteurs responsables de l’intégration socioculturelle de divers groupes de nouveaux arrivants. Pour élaborer ce modèle, qui met l’accent sur les forces et les faiblesses de l’individu et de la communauté, je m’inspire des perspectives du capital social, du capital humain, de la psychologie clinique et de la résilience. La source de données vient des données administratives du YMCA du sud-ouest de l’Ontario. Les résultats de cette étude montrent que l’origine ethnique et les atouts individuels et communautaires sont des facteurs fondamentaux de l’intégration socioculturelle. Cependant, le facteur le plus important pour l’intégration socioculturelle de ce groupe de nouveaux arrivants est leur capital individuel. La prise en compte des atouts individuels nivelle les différences socioculturelles associées aux origines ethniques, au statut d’entrée et à la durée de résidence. En outre, les atouts fournis par la communauté d’accueil jouent également un rôle important, bien que plus faible, dans le processus d’intégration. En plus, les atouts personnels et communautaires interagissent de telle sorte que plus les ressources communautaires disponibles pour les nouveaux arrivants sont importantes, plus l’impact des ressources personnelles sur l’intégration socioculturelle des nouveaux arrivants est important.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".