Spoken word processing in bilingual older adults
Bibliographic record
Abstract
Abstract We investigated whether bilingual older adults experience within- and cross-language competition during spoken word recognition similarly to younger adults matched on age of second language (L2) acquisition, objective and subjective L2 proficiency, and current L2 exposure. In a visual world eye-tracking paradigm, older and younger adults, who were French-dominant or English-dominant English-French bilinguals, listened to English words, and looked at pictures including the target (field), a within-language competitor (feet) or cross-language (French) competitor (fille, “girl”), and unrelated filler pictures while their eye movements were monitored. Older adults showed evidence of greater within-language competition as a function of increased target and competitor phonological overlap. There was some evidence of age-related differences in cross-language competition, however, it was quite small overall and varied as a function of target language proficiency. These results suggest that greater within- and possibly cross-language lexical competition during spoken word recognition may underlie some of the communication difficulties encountered by healthy bilingual older adults.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.000 |
| 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".