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Record W4409409523 · doi:10.5334/jopd.127

Data From the MTurk Parent eHealth Preference Survey: Mental Health Symptoms, Psychosocial Correlates, Service Use, and Preferences

2025· article· en· W4409409523 on OpenAlex
Charlie Rioux, Avaline Konkin, Anna MacKinnon, Lianne Tomfohr‐Madsen, Leslie E. Roos

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

VenueJournal of Open Psychology Data · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsUniversité de MontréalUniversity of ManitobaChildren's Hospital Research Institute of ManitobaCentre Hospitalier Universitaire Sainte-JustineDalhousie University
FundersResearch Manitoba
KeywordseHealthPsychosocialPreferenceMental healthMental health servicePsychologyMedicineGerontologyPsychiatryHealth care

Abstract

fetched live from OpenAlex

The MTurk Parent eHealth Preference Survey aimed to examine parents' preferences for eHealth program features as well as their attitudes and preferences towards three programs: AbilitiCBT, Triple P Online, and BEAM. The data also cover sociodemographic factors, mental illness symptoms, social support, resilience, stressful experiences, medication use, and psychosocial service use. The data (n = 177; United States) were collected through an online cross-sectional self-report survey on MTurk. The primary and processed data are available OSF and have reuse potential for clinical research on parental mental health, methodological research on crowdsourcing for participant recruitment, and for use in statistics courses.

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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesOpen science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.346
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0080.002
Research integrity0.0000.001
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 head0.385
GPT teacher head0.514
Teacher spread0.130 · 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