Bibliographic record
Abstract
PURPOSE: The current study's purpose is to examine, through a case study, a community health centre board's governance during an expansion period with particular attention to the organizational and internal board relations that contribute to or inhibit expansion. DESIGN/METHODOLOGY/APPROACH: All board members on the slate during the expansion were invited to participate in one semi-structured interview. Administrative data (board documentation and correspondence) were also used to inform the study. Discourse analysis was used to analyze the data. FINDINGS: While board members agreed with the expansion they acknowledge that the expansion process should be examined. Board members identified missing board skill sets, comfort with governance and low organizational understanding as personal barriers to an enhanced process. External barriers included: absent decision support tools; documentation and information availability and historical decision making processes. RESEARCH LIMITATIONS/IMPLICATIONS: Half the board members agreed to participate in the interviews. Of those declining, 30 percent cited difficulties during the expansion period as their rationale for withdrawing. ORIGINALITY/VALUE: Findings add to: the limited publications regarding primary healthcare service expansion; and understanding expansion and volunteer board members' roles and their governance process during this time.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".