Crosslinguistic transfer as category adjustment: Modeling conceptual color shift in bilingualism.
Why this work is in the frame
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Bibliographic record
Abstract
We present a general framework for capturing categorical cross-linguistic transfer effects – the influences of linguistic and con-ceptual categories in a bilingual speaker’s languages on eachother. By formulating the phenomenon as an instance of cogni-tive category shift, we achieve a general method for investigat-ing the extent and causes of crosslinguistic transfer in terms ofa category similarity space and a set of weighting factors. Weapply the model to the well-understood domain of color, formu-lating transfer as the modulation of conceptual color categoriesin one language on those of the other language. We analyze thecomponents of the model that predict salient aspects of humandata on an observed transfer effect in a range of languages.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.010 |
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