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Record W2156188901 · doi:10.1017/s1355617707070865

Female Advantage for Object Location Memory in Peripersonal but not Extrapersonal Space

2007· article· en· W2156188901 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of the International Neuropsychological Society · 2007
Typearticle
Languageen
FieldEngineering
TopicSpatial Cognition and Navigation
Canadian institutionsMcMaster UniversityUniversity of SaskatchewanUniversity of Lethbridge
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsSpace (punctuation)Object (grammar)Cognitive psychologyPsychologyComputer scienceCognitive scienceHuman–computer interactionArtificial intelligence

Abstract

fetched live from OpenAlex

The neural representation of peripersonal space may be distinct from the representation of extrapersonal space. Sex differences in the performance of motor tasks might relate to proximity to the body. In the spatial domain, females excel at tasks performed in peripersonal space, like the Object Location Memory Task (OLMT), whereas males excel at tasks performed in extrapersonal space, such as navigation. We compared performance on the OLMT in peripersonal space with performance on the same task in extrapersonal space (using a between-subjects design). As predicted, the typical female advantage was observed for the peripersonal OLMT. However, for the extrapersonal OLMT, the female advantage disappeared and males actually outperformed females. These results suggest that the sex differences observed in the OLMT, and potentially other tasks that exhibit sex differences in performance, may be related to sex differences to spatial-motor systems that are preferentially tuned to proximity.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.868
Threshold uncertainty score0.312

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.023
GPT teacher head0.289
Teacher spread0.266 · 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