Bibliographic record
Abstract
Abstract Over the last three decades the phenomenon of ‘sharing’ has been the object of many discussions in the field of collective intentionality or social ontology, whose discussions typically revolve around the paradigmatic cases of ‘shared actions’, which include, without being limited to, shared perceptions. By developing an account of shared perceptual responsiveness, this chapter specifies the correct way to satisfy the required conditions of shared perception: a perceptual We emerges in the way individuals jointly respond to commonly perceived cues. Throughout, the chapter stresses the fundamental role of embodied agency and pre-reflectively experienced time, the two pillars upon which shared perceptual responses rest. It is argued that co-experiencers typically display their normative sensitivity to shared perceptual situations by acting in certain typical ways (and not others), which is in turn only possible if they share a temporal horizon. Ultimately, shared perceptual responsiveness rests on a shared sense of time.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.017 |
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; both teacher heads agree on what is shown here.
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".