Culture and Community Psychology: Toward a Renewed and Reimagined Vision
Bibliographic record
Abstract
Interest is growing in community psychology to look more closely at culture. Culture has resided in community psychology in its emphasis on context, ecology, and diversity, however we believe that the field will benefit from a more explicit focus on culture. We suggest a cultural approach that values the community's points of view and an understanding of shared and divergent meanings, goals, and norms within a theory of empowerment. Furthermore, we posit the importance of pluralistic, multi-method programs of research and action encompassing both idiographic and nomothetic approaches, and critical reflexivity of our roles and agendas. Culture can be further incorporated into all the branches and fibers of community psychology.
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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 | 0.027 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.007 | 0.046 |
| Scholarly communication | 0.021 | 0.041 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.012 | 0.020 |
| Insufficient payload (model declined to judge) | 0.005 | 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".