Provoking Change in Researchers’ Roles: Using a Community-Based Research Approach to Address Research Needs in the Community
Bibliographic record
Abstract
This article is based on a community-based research practicum conducted with a Headstart program in western Canada. The purpose of the text is to describe the progression of one researcher’s roles from inception to completion of a year-long research project while working in collaboration with a community partner. Following a brief review of principles of community-based research, a case study is used to show how principles were adhered to in a practicum. A variation of traditional role theory is introduced as a useful framework to navigate burgeoning researcher roles and role multiplicity. These are (a) researcher as researcher, (b) researcher as collaborator, (c) researcher as relationship builder, (d) researcher as teacher, and (e) researcher as learner. Considerations for ways to promote researchers—students and academics—to develop skills to correspond with changing researcher roles are presented, along with future directions to empirically examine researcher roles in community-based research.
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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 | 0.163 | 0.125 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.002 |
| Science and technology studies | 0.040 | 0.047 |
| Scholarly communication | 0.022 | 0.021 |
| Open science | 0.009 | 0.032 |
| Research integrity | 0.010 | 0.010 |
| Insufficient payload (model declined to judge) | 0.002 | 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".