Morphological processing is gradient not discrete in L1 and L2 English masked priming
Why this work is in the frame
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Bibliographic record
Abstract
Abstract In recent years, evidence has emerged that readers may have access to the meaning of complex words even in the early stages of processing, suggesting that phenomena previously attributed to morphological decomposition may actually emerge from an interplay between formal and semantic effects. The present study adds to this line of work by deploying a forward masked priming experiment with both L1 (Experiment 1) and L2 (Experiment 2) speakers of English. Following recent research trends, we view morphological processing as a gradient process emerging over time. In order to model this, we used a large within-item stimulus design combined with advanced statistical methods such as generalised mixed models (GAMM) and quantile regression (QGAM). L1 GAMM analyses only showed priming for true morpho-semantic relations (the identity ‘bull’, inflected ‘bulls’ and derived conditions ‘bullish’), with no priming observed in the case of other relations (the pseudo-complex ‘bully’ or the stem-embedded ‘bullet’ conditions). Furthermore, with respect to the time-course of effects, we found significant differences between conditions were present from very early on as revealed by the QGAM analyses. In contrast, L2 speakers showed significant facilitation across all five conditions compared to the baseline condition, including the stem-embedded condition, suggesting early L2 processing is only dependant on the form.
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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 | 0.001 | 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 it