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Record W2094625554 · doi:10.1177/1087054711428947

Communicative Perspective-Taking Performance of Adults With ADHD Symptoms

2012· article· en· W2094625554 on OpenAlexafffund
Elizabeth S. Nilsen, Tracy Anne Mewhort Buist, Randall Gillis, Jonathan A. Fugelsang

Bibliographic record

VenueJournal of Attention Disorders · 2012
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsUniversity of Waterloo
FundersCanadian Psychological Association
KeywordsPsychologyPerspective (graphical)ConversationCognitionTask (project management)Developmental psychologyObject (grammar)Perspective-takingClinical psychologyCognitive psychologyPsychiatryCommunication

Abstract

fetched live from OpenAlex

OBJECTIVE: The ability to take the perspective of one's conversational partner is essential for successful communication. Given the significant cognitive and attention resources required to use another's perspective, the authors assessed whether adults who report symptoms of ADHD would have difficulty using their conversational partner's visual perspective to guide their interpretations. METHOD: Adults with high (clinical range) or low (nonclinical range) self-reported ADHD symptoms participated in a communication task that required perspective-taking. RESULTS: Eye movement measures revealed that individuals with high ADHD symptoms fixated on objects obscured from their partners' view more often than did those participants with low ADHD symptoms, and the degree to which this "egocentric" object was considered correlated with the degree of inattention symptoms. However, overt behavior (object choice) was not impacted by ADHD symptomatology. CONCLUSION: Individuals with high levels of ADHD symptoms, especially inattention, are less efficient in their ability to use another's perspective during conversation.

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)0.000
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 score0.075
Threshold uncertainty score0.511

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 communication0.0000.001
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 head0.026
GPT teacher head0.320
Teacher spread0.294 · 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

Citations19
Published2012
Admission routes2
Has abstractyes

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