Comparing apples with apples: A proposed taxonomy for “Community Health Workers” and other front-line health workers for international comparisons
Bibliographic record
Abstract
This paper proposes a taxonomy for Community Health Workers (CHWs) and others engaged in front-line community health activities, encompassing formally-employed workers extending government primary health care (PHC) service delivery as well as a range of other actors with roles at the nexus of government PHC and communities. The taxonomy is grounded in current definitions from the World Health Organization and the International Labor Organization, and proposes some refinements for future iterations of guidance from these agencies. The designation, "Community Health Worker" is currently used to cover a broad range of roles. Furthermore, there are programs engaging workers or community members in roles closely adjacent to those generally recognized as CHWs that use other designations, not commonly included under the rubric of "CHW". This potentially confusing range of roles and nomenclature leads at times to over-generalizations, applying insights and principles relevant for one type of worker or community member that are not necessarily relevant for another. It also leads to a failure to consider occupational groups not commonly thought of as CHWs-but engaged in PHC service delivery at the most peripheral level-in community-based-PHC planning and management arrangements. Building on ILO and WHO classifications and standards, a further clarification of terms and a taxonomy is proposed, with the intention of contributing to clearer communication and shared understanding and, ultimately, sounder community health policy, program planning, and implementation; and more substantial progress towards Universal Health Coverage.
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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 | 0.018 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.015 | 0.012 |
| Science and technology studies | 0.009 | 0.021 |
| Scholarly communication | 0.019 | 0.037 |
| Open science | 0.005 | 0.013 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".