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Record W6990723673

Education for Wellbeing : technical report

2025· other· en· W6990723673 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Education Resource Archive (University College London) · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsTechnical reportVocational educationWork (physics)Agency (philosophy)Government (linguistics)Set (abstract data type)Higher education
DOInot available

Abstract

fetched live from OpenAlex

Developed in Canada by Dr Stan Kutcher, The Guide (Mental Health and High School Curriculum Guide) is a six-session intervention aimed at increasing understanding of mental health and mental disorders, decreasing the stigma of mental illness and enhancing help-seeking efficacy among both pupils and school staff.The Guide was tested in English schools as part of the Education for Wellbeing programme as an intervention to increase intended help seeking behaviour for mental health difficulties.Six topics are covered in The Guide: 1) The stigma of mental illness, 2) Stress and the brain, 3) Understanding specific mental illnesses (Part 1), 4) Understanding specific mental illnesses (Part 2) , 5) Support, treatment and recovery, and 6) The importance of positive mental health.Content includes information about a number of mental health disorders including bipolar disorder, panic disorder, schizophrenia, eating disorders, depression and obsessive-compulsive disorder.The intervention was designed to be delivered to pupils over 10-12 hours.However, for the Education for Wellbeing trial, The Guide was adapted to be delivered across six sessions of 50-60 minutes.With approval from the developers, the content was reduced and Canadian video content replaced with resources from England.The trial version prioritised interactive elements such as quizzes and discussions rather than the more didactic, lecture style elements.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.058
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.005
GPT teacher head0.231
Teacher spread0.225 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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 abstractyes

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