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Record W1485885568 · doi:10.1002/9780470030585.ch9

Triggering the Intentional Stance

2006· article· en· W1485885568 on OpenAlex
Raymond A. Mar, C. Neil Macrae

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

VenueNovartis Foundation symposium · 2006
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyCognitive psychology

Abstract

fetched live from OpenAlex

While humans possess a ready capacity to view a target (biological or otherwise) as an intentional agent (i.e. the 'intentional stance'), the conditions necessary for spontaneously eliciting these mentalizing processes are less well understood. Although research examining people's tendency to construe the motion of geometric shapes as intentional has done much to illuminate this issue, due to methodological limitations (a reliance on subjective self-report) this work has not fully addressed the potentially automatic and obligatory nature of mentalizing. Acknowledging this problem, recent research using prelinguistic infants, neuroimaging technology and methods that avoid explicit self-report all provide unique paths to circumvent this shortcoming. While work of this kind has generally corroborated the results of previous investigations, it has also raised a number of new issues. One such issue is whether spontaneous mentalizing processes for abstract non-biological stimuli are instantiated in the same neural architecture as those for realistic representations of intentional biological agents. This question is considered in the current chapter.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.868
Threshold uncertainty score0.998

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.003

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 head0.014
GPT teacher head0.275
Teacher spread0.261 · 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