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Record W1985589586 · doi:10.1159/000057059

Piaget’s Framework for a Scientific Study of Consciousness

2001· article· en· W1985589586 on OpenAlexaff
Michel Ferrari, Adrien Pinard, Kevin Runions

Bibliographic record

VenueHuman Development · 2001
Typearticle
Languageen
FieldPsychology
TopicSocial Representations and Identity
Canadian institutionsUniversité du Québec à MontréalInstitute for Christian StudiesUniversity of Toronto
Fundersnot available
KeywordsConsciousnessMonismEpistemologyPhysicalismSubject (documents)Constructivism (international relations)Philosophy of scienceCognitive scienceObject (grammar)PsychologyPiaget's theory of cognitive developmentConsilienceCognitionCognitive developmentPhilosophyMetaphysicsComputer science

Abstract

fetched live from OpenAlex

While largely unacknowledged, Piaget’s views on the epistemology of consciousness presaged key positions now held by contemporary philosophers and psychologists. This paper examines Piaget’s views about two fundamental epistemological problems central to any theory of consciousness: (1) the general problem of the subject-object relationship in any type of knowing; and (2) the specific problem of the physical-mental relationship within the knowing subject. Piaget adopts a unique form of internal interactionism toward the first issue and a sophisticated form of parallelism toward the second; he aimed for an eventual integrative monism while providing compelling reasons why such a monism may always exist in name only. While his approach to these problems did not solve them, his examination of the problems – and his proposed coordination of philosophy, psychology, and neuroscience – is an important path toward consilience in the scientific study and understanding of consciousness.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0040.045
Scholarly communication0.0080.015
Open science0.0020.005
Research integrity0.0060.008
Insufficient payload (model declined to judge)0.0040.001

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 head0.104
GPT teacher head0.415
Teacher spread0.310 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations16
Published2001
Admission routes1
Has abstractyes

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