Bibliographic record
Abstract
It is proposed that studying individual tasks in isolation is a solution to Fodor's problem: how can we break down the empirical project in psychology into tractable units?The taskoriented approach is in this sense an alternative to the modular view of the mind.I propose a definition of a task as a researcher-defined unit of study that corresponds to a reconfiguration of resources in an animal-enviroment system; this reconfiguration: is meaningful to a perceiver-actor; is amenable to precise characterization; specifies criteria for succesful completion of the task; and provides a guide to researchers on how to generalize empirical conclusions drawn from the study of a given phenomenon.The task-oriented approach is well-suited to the study of certain phenomena that the standard brainoriented approach struggles to characterize, such as collaborative activity.Framing the dichotomy between the approaches in terms of methodology allows us to avoid fruitless ontological discussions about external content.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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".