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Record W4403808209 · doi:10.3102/0091732x241256628

The Side Effects of Universal School-Based Mental Health Supports: An Integrative Review

2024· article· en· W4403808209 on OpenAlex
Stephen MacGregor, Sharon Friesen, Jennifer Turner, José F. Domene, Carly A. McMorris, Sharon Allan, Brenna Mesner, Dennis Sumara

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

VenueReview of Research in Education · 2024
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMental healthPsychologyMathematics educationApplied psychologyPsychotherapist

Abstract

fetched live from OpenAlex

A challenge with universal school-based mental health supports is the limited understanding of potential unintended or unanticipated outcomes. In this review, we examined 47 academic and gray literature sources to address the question, “What are the side effects of universal school-based mental health supports?” We discuss how universal supports can positively impact student mental health, enhance school staff’s knowledge and attitudes in addressing mental health topics, and contribute to an improved school climate. However, universal supports can also lead to school staff feeling the strain of resource and time pressures from integrating mental health programming into demanding schedules, voicing frustrations about or exhibiting resistance to mental health supports, and encountering varied, unpredictable outcomes for different student populations across system contexts.

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)0.010
metaresearch head score (Gemma)0.002
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: Review · Consensus signal: Review
Teacher disagreement score0.600
Threshold uncertainty score0.915

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.053
GPT teacher head0.529
Teacher spread0.476 · 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