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Record W2025047874 · doi:10.1002/meet.2008.1450450201

People transforming information – information transforming people: What the Neanderthals can teach us

2008· article· en· W2025047874 on OpenAlexaff
Charles Cole

Bibliographic record

VenueProceedings of the American Society for Information Science and Technology · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicLanguage and cultural evolution
Canadian institutionsMcGill University
Fundersnot available
KeywordsAdaptation (eye)Encoding (memory)Transformational leadershipDecoding methodsCognitionComputer scienceEvent (particle physics)Cognitive scienceCognitive psychologyPsychologyArtificial intelligenceSocial psychologyNeuroscience

Abstract

fetched live from OpenAlex

Abstract This paper examines the issue of people transforming information and in turn information transforming people, starting from a human adaptation event occurring 35,000‐50,000 years ago, called Enhanced Working Memory (EWM). This hypothesized adaptation separated human cognitive and social development from the Neanderthals' allowing humans to adapt and survive through drastically changing social and physical environments while the Neanderthals did not. EWM and the advantages to humans it provided are examined in terms of giving humans improved and more flexible decoding and encoding cognitive and social architectures. As a result of these architectures, what constitutes information for humans has also evolved. A Socio‐cognitive Framework Model for Transformational Information Use illustrates how adaptive decoding and encoding structures work together to facilitate human adaptation to social and environmental changes.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.313
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0030.002
Scholarly communication0.0000.022
Open science0.0010.000
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 head0.009
GPT teacher head0.252
Teacher spread0.243 · 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 designQualitative
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

Citations2
Published2008
Admission routes1
Has abstractyes

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