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Record W2134169650 · doi:10.1093/geronb/63.3.p193

Age-Related Differences in Viewer-Rotation Tasks: Is Mental Manipulation the Key Factor?

2008· article· en· W2134169650 on OpenAlexaff
Marc F. Joanisse, Sylvain Gagnon, Joshua Kreller, Mathieu Charbonneau

Bibliographic record

VenueThe Journals of Gerontology Series B · 2008
Typearticle
Languageen
FieldEngineering
TopicSpatial Cognition and Navigation
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMental rotationKey (lock)Factor (programming language)PsychologyRotation (mathematics)Cognitive psychologyHuman–computer interactionComputer scienceArtificial intelligenceCognitionComputer securityNeuroscience

Abstract

fetched live from OpenAlex

Using a viewer-centered frame of reference (VCFR) paradigm, we examined whether the necessity to mentally manipulate the frame of reference can explain why older adults were found to be impaired on a variety of spatial memory tasks. Twenty-four younger participants (18-35 years of age) and 24 older participants (65-78 years of age) performed a pointing task under four conditions in which a physical or imagined rotation was induced. In three conditions (updating, imagining, and ignoring), the frame of reference was shifted after encoding, which required a mental manipulation at the time of retrieval. In a control condition, the VCFR was held constant. Overall results show that the necessity to mentally manipulate the VCFR accentuates age-related differences. The presence of mental manipulation should therefore be considered when one is interpreting age-related differences found in spatial memory tasks.

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)0.005
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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
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)0.0010.000

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 head0.082
GPT teacher head0.286
Teacher spread0.204 · 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

Citations9
Published2008
Admission routes1
Has abstractyes

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Same venueThe Journals of Gerontology Series BSame topicSpatial Cognition and NavigationFrench-language works237,207