Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.016 |
| Scholarly communication | 0.010 | 0.020 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.035 | 0.006 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".