Conceptual Combination, Property Inclusion, and the Aristotelian-Thomistic View of Concepts
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Understanding how properties are extended to combined concepts is critical to theories of concepts. In human judgments, properties true of a noun (ducks have webbed feet) become less true when that noun is modified (baby ducks have webbed feet), while properties false of a noun (candles have teeth) become less false when that noun is modified (purple candles have teeth). These modification and inverse modification effects have been shown to be extremely robust. Gagné and Spalding (2011, 2014b; Spalding and Gagné 2015) have argued that these effects are driven by expectation of contrast. The current experiment shows that, as expected, the modification and inverse modification effects are unaffected by the normative force with which a property is predicated of the head noun, supporting the expected contrast explanation. The results are discussed with respect to an Aristotelian-Thomistic approach to concepts (Spalding and Gagné 2013).
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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 | 0.002 |
| 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 it