Bibliographic record
Abstract
Community psychology is a field of psychology that focuses on the relationship between individuals and their communities. It seeks to understand how social and environmental factors can influence mental health and well-being. Cross-cultural psychology is a subfield of psychology that studies the similarities and differences in human behaviour across cultures. These two fields of psychology intersect in the study of cross-cultural communities. Cross-cultural communities are those that are made up of people from different cultures. These communities can be found in both urban and rural settings, and they can be composed of immigrants, refugees, or people who have simply chosen to live in a community that is different from their own culture. Cross-cultural communities can face several challenges, including language barriers, discrimination, and cultural misunderstandings. These challenges can have a negative impact on the mental health and well-being of community members. Community psychologists can play a valuable role in helping cross-cultural communities. They can work to improve communication and understanding between people from different cultures. They can also help to develop programs and services that meet the needs of the community. One example of a community psychology program that is designed to help cross-cultural communities is the Refugee Mental Health Program in the United States. This program provides mental health services to refugees and immigrants who are struggling to adjust to life in the United States. The program also provides education and support to community members about refugee and immigrant mental health issues. Another example of a community psychology program that is designed to help cross-cultural communities is the Intercultural Community Development Program in Canada. This program works to build bridges between different cultural groups in Canadian communities. The program provides training and resources to community leaders and organizations on how to promote intercultural understanding and respect.
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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 0.001 |
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".