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Record W4414323572 · doi:10.21203/rs.3.rs-7474779/v1

The Role of Community Co-Designed Interventions for Malaria Prevention and Control in Conflict- Affected Communities in Cameroon’s Southwest and Littoral Regions

2025· preprint· en· W4414323572 on OpenAlexaff
Ebob Besem, Brenda Mbouamba Yankam, Oluwafunmilayo Ogundeko-Olugbami, Laura Donovan, Helen Counihan, Helen Hawkings, Kolawole Maxwell, K. Scott Baker, Yakouba Zoungrana, Elvis Asangbeng Tanue, Bibiche Modjenpa Noukeme, Alain Metuge, Isabelle Nganmou, Epie Coril, Narcisse Sachop, Solomon Ako, Joysline Pensha, Ayuk Otang Tabong, Besong Tabot Itoe, Samuel Wanji, Elizabeth Berryman, Elizabeth Jarman, Esther Njomo Omam, Lundi-Anne Omam

Bibliographic record

VenueResearch Square · 2025
Typepreprint
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsReach Technologies (Canada)
Fundersnot available
KeywordsFocus groupPsychological interventionQualitative researchMalariaCommunity healthIntervention (counseling)Participatory action researchCommunity mobilizationHealth facility

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.000

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.

Opus teacher head0.089
GPT teacher head0.436
Teacher spread0.347 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractno

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