Exploring Learning Context Effects and Grapho(-Phonic)-Phonological Priming in Trilinguals
Bibliographic record
Abstract
A growing body of research on bilingual word recognition suggests that lexical access is language non-selective in nature. This claim aligns with the Dynamic Systems Theory (DST) approach to (multilingual) language acquisition, according to which complex systems involve a large number of elements that interact. In language learners, these interactions lead to the creation and dissolution of patterns as the tasks and environments around them change. In this study, we extend the scope from previous research on word recognition to include the role immersion plays on the transfer of grapho(-phonic)-phonological patterns among (Brazilian Portuguese–French–English) trilinguals. Two groups of participants—one group living in their L1 environment and the other in an L2 setting—were presented with a primed lexical decision task. Besides revealing a high impact of L2 immersion on the processing of grapho(-phonic)-phonological related primes, our results provide further support for the notion of language non-selective access to the lexicon, which seems to generalize to trilingual word recognition. Implications for the DST view of multiple language acquisition are briefly discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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) | 0.000 | 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".