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Record W2792035608 · doi:10.26913/60202015.0112.0014

Czym jest to, co zwiemy ucieleśnieniem?

2015· article· pl· W2792035608 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

VenueAvant · 2015
Typearticle
Languagepl
FieldSocial Sciences
TopicLanguage and Culture
Canadian institutionsQuest University Canada
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Ucielenienie stao si wanym pojciem wielu obszarw kognitywistyki. Jednak rnie okrela si, czym ono dokadnie jest i jakiego rodzaju ciaa wymaga si dla okrelonego typu poznania ucielenionego. Std chocia wiele osb zgodzioby si dzisiaj, e ludzie s ucielenionymi podmiotami poznajcymi, nie ma penej zgody co do tego, jakiego rodzaju artefakt mona uzna za ucieleniony. W tym artykule wyrniamy i zestawiamy sze rnych poj ucielenienia, ktre z grubsza mona scharakteryzowa jako: (1) sprzenie strukturalne midzy podmiotem [agent] a rodowiskiem, (2) ucielenienie historyczne jako co, co wynika z historii sprzenia strukturalnego, (3) ucielenienie fizyczne, (4) ucielenienie organizmoidalne, czyli dotyczce

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 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: Empirical · Consensus signal: none
Teacher disagreement score0.455
Threshold uncertainty score0.999

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)0.0020.012

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 head0.057
GPT teacher head0.360
Teacher spread0.303 · 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

Quick stats

Citations5
Published2015
Admission routes1
Has abstractyes

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