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Record W2097307073 · doi:10.1109/tpc.2008.2000341

Online Hunting and Gathering: An Evolutionary Perspective on Sex Differences in Website Preferences and Navigation

2008· article· en· W2097307073 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.

Bibliographic record

VenueIEEE Transactions on Professional Communication · 2008
Typearticle
Languageen
FieldEngineering
TopicSpatial Cognition and Navigation
Canadian institutionsUniversité de MontréalConcordia University
Fundersnot available
KeywordsPerspective (graphical)PerceptionPsychologyEvolutionary psychologyCognitionContext (archaeology)Cognitive psychologySpatial cognitionObject (grammar)Computer scienceSocial psychologyArtificial intelligenceGeography

Abstract

fetched live from OpenAlex

Despite numerous sex differences found in spatial navigation, perception, and verbal abilities, the manner in which these differences manifest themselves in terms of online navigation has yet to be explored. We propose a unified framework based on evolutionary psychology and supported by recent findings in cognitive neuroscience for understanding sex differences in cognition and how they relate to online navigation and website preferences. The literature on sex differences in navigation, object location, spatial rotation, the perception of color, form, and movement, and verbal fluency is reviewed within the context of their evolutionary underpinnings. Based on these findings, specific website design recommendations are proposed. Results of a pilot study examining sex differences in web navigation provide evidence that utilizing an evolutionary approach can engender findings with significant implications for e-communication researchers and practitioners alike.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.585
Threshold uncertainty score0.559

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 head0.042
GPT teacher head0.291
Teacher spread0.249 · 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