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Record W4206575030 · doi:10.31235/osf.io/sybz7

Introduction: Cognitive Archaeology at the Crossroads

2021· preprint· en· W4206575030 on OpenAlexfundno aff
Karenleigh A. Overmann, Frederick L. Coolidge

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicLanguage and cultural evolution
Canadian institutionsnot available
FundersUniversidade Nova de LisboaUniversidad Complutense de MadridUniversiteit UtrechtUniversity of OxfordUniversity of Notre DameUniversity of MissouriDePaul UniversityUniversity of TorontoUniversity of ExeterWayne State University
KeywordsWynnCognitionField (mathematics)Cognitive scienceArchaeologyHistorySociologyPsychologyPhilosophyLinguisticsMathematics

Abstract

fetched live from OpenAlex

We look back at the field of cognitive archaeology by discussing the moment of insight that inspired one of its pioneers, Thomas Wynn, to apply Piagetian developmental theory to the question of human cognitive evolution as understood through geometric relations in stone tools. We also review the work of other pioneers in the field, including Colin Renfrew and John Gowlett. We briefly describe the articles contained in the volume. Lastly, we look forward at where the field of cognitive archaeology may be headed.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.556
Threshold uncertainty score0.997

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0190.000

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 head0.020
GPT teacher head0.321
Teacher spread0.301 · 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.

Study designNot applicable
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

Citations0
Published2021
Admission routes1
Has abstractyes

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