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Record W3180992981 · doi:10.1101/2021.06.29.21259431

The development and usability testing of digital knowledge translation tools for parents of children with acute otitis media

2021· preprint· en· W3180992981 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuemedRxiv · 2021
Typepreprint
Languageen
FieldComputer Science
TopicE-Learning and Knowledge Management
Canadian institutionsUniversity of Alberta
FundersNetworks of Centres of Excellence of Canada
KeywordsUsabilityContext (archaeology)Computer sciencePsychologyMultimediaHuman–computer interaction

Abstract

fetched live from OpenAlex

Abstract Acute otitis media (AOM) is the most common bacterial ear infection affecting up to 80% of children before the age of three. Despite the common occurrence of the illness and the wide range of material available at clinics and online, parents are not always aware of these resources and they are often difficult to understand. We worked with parents to develop and assess the usability of a whiteboard animation video and interactive infographic for AOM in children. Parents rated the tools highly across all usability items, suggesting that creative tools developed using multi-method development processes can be useful, relevant, understandable, and will be used by the intended audience. Following the completion of the English-language products, our team culturally adapted the tools for the Pakistan context and evaluated the usability of these adapted tools. During usability testing, parents indicated that they felt the tools were useful, demonstrating that culturally adapted version of knowledge translations tools are effective in ensuring that parents could understand complex health information.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.699
Threshold uncertainty score0.506

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.065
GPT teacher head0.273
Teacher spread0.208 · 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