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.
Bibliographic record
Abstract
This article presents theories of attention that attempt to derive their answer to the question of what attention is from their answers to the question of what it is for some activity to be done attentively. Such theories provide a distinctive account of the difficulties that are faced by the attempt to locate processes in the brain by which the phenomena of attention can be explained. Their account does not share the pessimism of theories suggesting that the concept of attention is defective. Instead it reconstrues the explanatory relationship between attention and the processes that constitute it, in a way that is illustrated here by considering the relationship between attention and the processes that are identified by the biased competition theory. After considering some of the ways in which an adverbialist approach might be developed, the article concludes by suggesting some possible solutions to a problem concerning distraction, by which prominent adverbialist theories of attention have been dogged. This article is categorized under: Psychology > Attention Philosophy > Metaphysics Philosophy > Foundations of Cognitive Science.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 it