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Record W1965734764 · doi:10.1177/0883073811402345

YouTube Videos as a Teaching Tool and Patient Resource for Infantile Spasms

2011· article· en· W1965734764 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.

Bibliographic record

VenueJournal of Child Neurology · 2011
Typearticle
Languageen
FieldPsychology
TopicStuttering Research and Treatment
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of Ottawa
Fundersnot available
KeywordsResource (disambiguation)PsychologyComputer scienceMedical educationMedicineMultimedia

Abstract

fetched live from OpenAlex

The purpose of this study was to assess YouTube videos for their efficacy as a patient resource for infantile spasms. Videos were searched using the terms infantile spasm, spasm, epileptic spasm, and West syndrome. The top 25 videos under each term were selected according to set criteria. Technical quality, diagnosis of infantile spasms, and suitability as a teaching resource were assessed by 2 neurologists using the Medical Video Rating Scale. There were 5858 videos found. Of the 100 top videos, 46% did not meet selection criteria. Mean rating for technical quality was 4.0 of 5 for rater 1 and 3.9 of 5 for rater 2. Raters found 60% and 64% of videos to accurately portray infantile spasms, respectively, with significant agreement (Cohen κ coefficient = 0.75, P < .001). Ten videos were considered excellent examples (grading of 5 of 5) by at least 1 rater. YouTube may be used as an excellent patient resource for infantile spasms if guided search practices are followed.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.611
Threshold uncertainty score0.371

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.022
GPT teacher head0.295
Teacher spread0.273 · 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