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Record W4210582778 · doi:10.1080/13603116.2022.2029962

Suspicion of ADHD by teachers in relation to their perception of students’ cognitive capacities: do cognitively strong students escape verdict?

2022· article· en· W4210582778 on OpenAlexafffundabout
Emma Degroote, Marie‐Christine Brault, Mieke Van Houtte

Bibliographic record

VenueInternational Journal of Inclusive Education · 2022
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsUniversité du Québec à Chicoutimi
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyPerceptionContext (archaeology)CognitionAttention deficit hyperactivity disorderBlameDevelopmental psychologySocial psychologyClinical psychology

Abstract

fetched live from OpenAlex

Teachers play a crucial role in the diagnostic process of Attention-Deficit/Hyperactivity Disorder (ADHD) in students: They are often the first to identify ADHD-related behaviors in children and to signal them to parents. Research has demonstrated that the recognition and labeling of certain behaviors as evidential for ADHD by teachers vary with respect to student characteristics. This study examines if and how the association between teacher perception of students' ADHD-related behaviors and teacher suspicion of ADHD in students is moderated by teacher perception of students' cognitive capacities. Multilevel analysis was carried out on data collected in 2017 and 2018 from 939 students and 108 teachers in 15 Flemish (Belgium) and 16 Quebec (Canada) schools in the context of a collaborative research project on ADHD-prevalence and identification. Results show that, when teachers perceive ADHD-related behaviors in students, they more readily suspect ADHD when students are cognitively stronger. This study suggests that teachers are more inclined to free cognitively stronger students from the blame of ADHD-related behaviors by administering them an ADHD-label.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.315
Threshold uncertainty score0.617

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.395
Teacher spread0.368 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations4
Published2022
Admission routes3
Has abstractyes

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