Stressing the Flesh: In Defense of Strong Embodied Cognition
Bibliographic record
Abstract
In a recent paper, Andy Clark (2008) has argued that the literature on embodied cognition reveals a tension between two prominent strands within this movement. On the one hand, there are those who endorse what Clark refers to as body‐centrism, a view which emphasizes the special contribution made by the body to a creature’s mental life. Among other things, body centrism implies that significant differences in embodiment translate into significant differences in cognition and consciousness. On the other hand, there are those who endorse what Clark calls extended functionalism, a view which sees the mind as the joint product of the computational resources presented by (i) intracranial processing, (ii) bodily input, and (iii) environmental scaffolding. As such, extended functionalism allows for the possibility that any contribution of the body to cognition and consciousness can be compensated for by the other two contributing factors. While Clark’s sympathies lie with the latter approach, we argue in favour of the former. In particular, we focus on consciousness and argue that the unique contribution the body makes to a creature’s manifold of phenomenal experience cannot be compensated for, in the manner, and on the scale, that Clark envisages.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | low |
| gpt | no category Domain: not available · Genre: Other About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | high |
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.032 |
| Scholarly communication | 0.004 | 0.011 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".