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Record W4210828866 · doi:10.1515/9783110647242

Access and Mediation

2022· book· en· W4210828866 on OpenAlexaff
Maren Wehrle, Diego D’Angelo, Elizaveta Solomonova

Bibliographic record

Venuenot available
Typebook
Languageen
FieldNeuroscience
TopicNeuroscience, Education and Cognitive Function
Canadian institutionsMcGill University
Fundersnot available
KeywordsMediationComputer sciencePsychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Recent years have seen a rise in interdisciplinary approaches to the study of the mind. However, relatively little emphasis has been placed on attention, its functions, and phenomenology. As a result, there are a multitude of definitions and explanatory frameworks that describe what attention is, what it does, and how it works. This volume proposes that one way to discuss attention is by utilizing an integrative multidisciplinary framework that takes into consideration aspects of attention as a means of accessing the world and as a mediator of experience. It brings together contributions from cognitive science, philosophy, and psychology in order to shed light on these aspects of attention. By including both theoretical and empirical approaches to attention, this volume will provide (1) an innovative framework for examining attention as something that mediates experience and (2) new perspectives on foundational and defi nitional issues of what attention is and how it contributes to our ability to access the world. By drawing together different disciplines, this volume broadens the concept of attention. It opens up a new way of looking at attention as an active process through which the world is disclosed for us.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.302
Threshold uncertainty score0.993

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)0.0070.000

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 head0.059
GPT teacher head0.314
Teacher spread0.256 · 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 designNot applicable
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

Citations3
Published2022
Admission routes1
Has abstractyes

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