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Record W6886160123 · doi:10.15139/s3/kc48qq

Community Survey of Lymphatic Filariasis Mass Drug Administration Acceptability in Guyana, November 2021

2023· dataset· en· W6886160123 on OpenAlexaff

Bibliographic record

VenueUNC Dataverse · 2023
Typedataset
Languageen
Field
Topic
Canadian institutionsOttawa Public HealthBruyèreUniversity of Ottawa
Fundersnot available
KeywordsLymphatic filariasisMass drug administrationContext (archaeology)Administration (probate law)Drug complianceDrug administration

Abstract

fetched live from OpenAlex

A cross-sectional community survey of public perceptions and attitudes relating to Lymphatic Filariasis (LF) and Mass Drug Administration (MDA) elimination efforts was conducted in sex regions of Guyana during November 2021 as a component of ongoing LF monitoring efforts. Enumerators collected data on respondents self-rated knowledge of and perception of LF and MDA, as well as historic coverage and compliance with MDA and a validated metric of LF MDA acceptability. General demographic information was also collected. Due to the importance of context in this qualitative research, the studys authors request that you contact Dr. Alison Krentel (akrentel@uottawa.ca) prior to using this data.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.374
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0190.059

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 head0.055
GPT teacher head0.320
Teacher spread0.265 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2023
Admission routes1
Has abstractyes

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