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Imagination and the Self

2013· book· en· W251757433 on OpenAlexaff
Chris Moore, John Barresi

Bibliographic record

VenueOxford University Press eBooks · 2013
Typebook
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPsychologyPsychology of selfExtension (predicate logic)SelfIdentity (music)Variety (cybernetics)Personal identityProperty (philosophy)Social psychologyCognitive psychologyEpistemologyAestheticsArtPhilosophyComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

This chapter considers the relations between the imagination and the self. It explores the nature of the self, paying particular attention to two core properties of personal identity—individuality and continuity. Individuality is the property of the self whereby one is recognized to be the same kind of thing as other people and yet different and unique. Continuity is the awareness of the temporal extension of the self or the existence of the self across the past, present, and future. The chapter reviews how these two properties of the self develop and the role played in development by the imagination. The individual self is acquired at the end of infancy and is most clearly manifest in phenomena such as self-recognition. In contrast, the continuous self develops over the preschool period and is manifest in a variety of phenomena, including episodic and autobiographical thinking, as well as future-oriented decision making.

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)0.000
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.009
Scholarly communication0.0040.004
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.002

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 head0.013
GPT teacher head0.225
Teacher spread0.213 · 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
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

Citations6
Published2013
Admission routes1
Has abstractyes

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