Bibliographic record
Abstract
In a contemporary setting in which all things “neuro” have great cultural sway, an analysis of the ways in which neuroscience is indebted to the methods and findings of the social sciences has received less attention. Indeed, in the new specialization of social neuroscience, neuroscientists now collaborate with contemporary psychologists and invoke historical psychological theories to help theorize empathy and social understanding. This article examines the overlap between psychological frameworks of social emotion and neuroscience in the case of mirror neurons, discovered in the 1990s. Some neuroscientists purport that mirror neurons underlie the social behaviours of imitation and empathy, and have found support for this view of theories of simulation and embodied cognition. They have also invoked pragmatic and phenomenological approaches to mind and behaviour dating back to the early 20 th century. Neuroscientists have thus imported, adapted, and interpreted psychological models to help define social understanding, empathy, and imitation in many imaging studies.
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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 | 0.001 | 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) | 0.001 | 0.000 |
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 teacher head, 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".