Latin American Community‐based Mental Health Initiative: Stakeholder matrix tool
Bibliographic record
Abstract
Abstract This article presents a matrix tool that facilitates a systemic view, both for planning and evaluation purposes, of the roles and interactions between key stakeholders in community‐based mental health programs. The tool emerged from a community mental health initiative centered on natural caregivers, that commenced in 1995 in Edmonton, Alberta, Canada, and involved the Latin American community, social agencies, and health institutions. The article describes the Latin American Community‐based Mental Health Initiative and exemplifies the use of the stakeholder matrix tool. The purpose of the tool is to assist community‐based initiatives to explicitly examine, on an ongoing basis, roles, interactions, and areas of tension between its stakeholders. The lack of this examination undermines the possibility for community‐based initiatives to overcome the many challenges they face. The stakeholder matrix tool offers a relatively straightforward structure from where to initiate this process, be it from a planning and/or evaluation perspective. © 2002 Wiley Periodicals, Inc.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.011 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".