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Record W7003869969

The Attentive Mind

2017· dissertation· en· W7003869969 on OpenAlexaff

Bibliographic record

VenueTSpace (University of Toronto) · 2017
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicEntomological Studies and Ecology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPerceptionCognitionObject (grammar)Task (project management)Representation (politics)Intellectual development
DOInot available

Abstract

fetched live from OpenAlex

When theorists are engaged in the study of attention, they should not ask questions about “attention” simpliciter. They should instead always specify whether perceptual attention or what William James called “intellectual attention” is under discussion. James distinguished between the two varieties of attention with reference to their objects. He said that perceptual attention can be directed at “sensorial objects”, by which he means “object that an agent is perceiving, or could be perceiving”, and that intellectual attention can be directed at “ideal or represented objects” (James 1890 p. 416).\n\tIn this dissertation, I develop a sufficient condition for intellectual attention and put my sufficient condition to two philosophical uses. On my view, using information from a personal level cognitive representation of that object to guide the performance of some primary task is sufficient for intellectual attention to that object. My sufficient condition is motivated by the practice of scientists studying intellectual attention and is compatible with a pluralistic approach to the metaphysics of attention. I use this sufficient condition to argue that intellectual attention can alter cognitive consciousness, and to argue that intellectual attention is required to comprehend some singular terms.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.989
Threshold uncertainty score0.982

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0190.000

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 head0.021
GPT teacher head0.238
Teacher spread0.217 · 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 designOther design
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

Citations0
Published2017
Admission routes1
Has abstractyes

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