Non-medical health centers – directions for service researchers
Bibliographic record
Abstract
Purpose The purpose of this paper is to provide directions for research on non-medical health service and servicescapes by building off Rosenbaum’s study of social support for men at a resource center for testicular cancer. Design/methodology/approach This paper cites literature and introduces directions for future research. Findings This paper contains insights on non-medical health services and servicescapes, including the salience of social connection for coping, the need to connect with others who are experiencing the same health issue, the relevance of place and face-to-face contact, the role of leisure in drawing people together and the need to look at these environments critically. Originality/value This viewpoint provides insights to anyone interested in transformative service research, particularly those who apply this approach to study health-care services.
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 | 0.085 | 0.067 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.016 | 0.028 |
| Scholarly communication | 0.025 | 0.044 |
| Open science | 0.007 | 0.021 |
| Research integrity | 0.017 | 0.023 |
| Insufficient payload (model declined to judge) | 0.025 | 0.004 |
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".