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Hands

2017· other· en· W4254684763 on OpenAlexaff
Campbell Rolian

Bibliographic record

VenueThe International Encyclopedia of Primatology · 2017
Typeother
Languageen
FieldPsychology
TopicPrimate Behavior and Ecology
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPrimateArboreal locomotionVariety (cybernetics)Function (biology)Computer scienceHuman–computer interactionBiologyCommunicationArtificial intelligenceEvolutionary biologyNeuroscienceEcologyPsychology

Abstract

fetched live from OpenAlex

Primate hands are multipurpose tools that play a central role in many daily activities. For example, primate hands function as powerful grasping tools that allow individuals to move freely and securely in terrestrial and, especially, arboreal environments. Primate hands are also precision tools, essential for acquiring and processing food items, for grooming, and for manufacturing and using other tools such as twigs and stones. Primate hands can perform such varied tasks in part because they have a generalized, primitive anatomy. Whereas other mammals have evolved hands that are highly specialized for single tasks, such as locomotion (e.g., horses, whales), primates retain many anatomical features of the hand of the earliest land vertebrates that allow their hands to be used in a variety of 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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.038
Threshold uncertainty score0.999

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 science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0400.002

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 head0.021
GPT teacher head0.335
Teacher spread0.313 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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 routes1
Has abstractyes

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