MétaCan
Menu
Back to cohort
Record W2944249296 · doi:10.22215/etd/2017-12217

Executive Function and Prospective Memory: The Effect of Inhibitory Control and Working Memory Load

2017· dissertation· en· W2944249296 on OpenAlexafffund
Audrey Brown

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicCognitive Functions and Memory
Canadian institutionsCarleton University
FundersCarleton University
KeywordsWorking memoryTask (project management)Inhibitory controlProspective memoryExecutive functionsPsychologyControl (management)Cognitive psychologyDual (grammatical number)AudiologyDevelopmental psychologyCognitionComputer scienceNeuroscienceMedicineArtificial intelligenceEngineering

Abstract

fetched live from OpenAlex

This study examined the impact of a dual-task load on four-and five-year-olds' event-based prospective memory (PM), as well as the relation between PM and two executive function skills: working memory (WM) and inhibitory control (IC).Children completed an ongoing task (OT), which required pointing to pictures of animals in each image array.Embedded in this task was the PM task, which required children to ring a bell when they saw a picture of a cat.To manipulate the effect of dual-task load, children were assigned to one of three conditions: Control (OT and PM); WM-load (OT, PM, simultaneously with WM task); or IC-load (OT, PM, simultaneously with IC task).Five-year-olds outperformed four-year-olds on the PM task.There was no effect of condition on children's PM performance.Furthermore, WM and IC did not predict PM performance after controlling for age and language ability.Limitations and future directions are discussed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.009
GPT teacher head0.277
Teacher spread0.268 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2017
Admission routes2
Has abstractyes

Explore more

Same topicCognitive Functions and MemoryFrench-language works237,207