A Cultural‐Variant Approach to Community‐Based Participatory Research: New Ideas for Family Professionals
Bibliographic record
Abstract
The cultural‐variant community‐based participatory research (CV‐CBPR) model expands the traditional community‐based participatory research (CBPR) model and supports the ongoing creation of innovative basic family and translational science. The CV‐CBPR model supports family professionals using a cultural‐variant perspective that discourages the use of a deficit or pathological lens. It also encourages inclusive and culture‐sensitive practices in all stages of a project. After a brief review of diverse types of community or action‐research projects and the nine principles of the traditional CBPR model, a cultural‐variant perspective and related principles are described. We offer lessons learned from two project management experiences: a community‐focused, disaster project with older survivors of Hurricane Katrina and a CBPR arctic‐climate project with Alaska Native grandparents rearing grandchildren.
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 | 0.165 | 0.073 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.014 | 0.099 |
| Scholarly communication | 0.024 | 0.022 |
| Open science | 0.007 | 0.015 |
| Research integrity | 0.008 | 0.010 |
| Insufficient payload (model declined to judge) | 0.003 | 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".