Attention And Attentiveness: A Defence of The Argument for Adverbialism
Bibliographic record
Abstract
In recent philosophical work on attention, several authors have employed versions of an argument purporting to show that attention is not identical to any cognitive process. Others have criticised this argument. This article addresses their various criticisms and shows the original argument to be a valid one. It also shows that this argument cannot be resisted by taking attention to be the disjunction of several processes, by taking it be a genus of process that is composed of various species, or by taking it to be a process-determinable, for which particular cognitive processes are determinates. The metaphysical position that most readily accommodates this argument’s conclusion is a version of adverbialism. It should be understood as making a claim about the essence of attention. Some of the confusions in this area are seen to originate in the difficulty of glossing such a claim in modal terms.
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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 | 0.009 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.030 |
| Scholarly communication | 0.007 | 0.019 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.010 | 0.010 |
| Insufficient payload (model declined to judge) | 0.011 | 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 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".