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Mental Retardation and Memory for Spatial Locations

2002· article· en· W2081822564 on OpenAlexaff
Robert S. P. Jones, Frances L. Vaughan, Mary Patrice R. Roberts

Bibliographic record

VenueAmerican Journal on Mental Retardation · 2002
Typearticle
Languageen
FieldEngineering
TopicSpatial Cognition and Navigation
Canadian institutionsUniversity College of the North
Fundersnot available
KeywordsPsychologySpatial abilityIncidental learningCognitive psychologySpatial learningSpatial memoryDevelopmental psychologyMentally retardedCognitionWorking memoryPsychiatry

Abstract

fetched live from OpenAlex

Although memory for spatial location has been frequently investigated with mentally retarded populations, it is not clear that these individuals possess the same spatial memory skills as do their peers without mental retardation. We compared 30 persons with and 30 persons without mental retardation. Following either intentional or incidental learning, participants recalled and then relocated 16 objects on a matrix. The control group recalled more intentionally learned than incidentally learned material. The experimental group performed both tasks better after incidental learning than after intentional learning and scored as highly as the controls on incidental spatial memory. Results suggest that memory for spatial location is an automatic process and, to some extent at least, is not directly affected by the individual's level of intelligence.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.973
Threshold uncertainty score0.577

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 communication0.0000.000
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 head0.015
GPT teacher head0.240
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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations15
Published2002
Admission routes1
Has abstractyes

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