Bibliographic record
Abstract
Social work practitioners are often ambivalent about the necessity of conducting research. Witkin (1995) suggests that the reason may have little to do with adequate training in research methods and more to do with a lack of an approach to research consistent with the mission of the profession. The purpose of this article is to begin a dialogue that focuses on delineating an approach to social work research that is consistent with the mission and values of the profession. A description of research approaches that share aspects of social work values is provided, followed by a discussion of core elements of each approach that may have implications for social work researchers. The core elements discussed include: (a) research that is shaped, guided, conducted, and even controlled by consumers; (b) research that focuses on communities or local contexts; (c) research that strives for mutual understanding; and (d) research that facilitates social change leading to empowerment, equality, and social justice. Finally, challenges to incorporating these core elements into research practice are discussed.
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 | 0.075 | 0.065 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.013 | 0.012 |
| Science and technology studies | 0.009 | 0.036 |
| Scholarly communication | 0.023 | 0.016 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 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".