Neuroplasticity as a model for bilingualism: Commentary on Baum and Titone
Bibliographic record
Abstract
Un grand merci à Shari Baum and Debra Titone for their review paper, “Moving Toward a Neuroplasticity View of Bilingualism, Executive Control and Aging.” (Please note the code switch in that previous sentence is part of my effort to build my cognitive reserve.) The authors are to be congratulated for providing a timely and constructive review of the current state of our understanding of the potential impact of bilingualism on executive control processes and cognitive aging. In this short commentary, I will comment on one of their key contributions to the discussion, namely, that researchers should embrace and address the individual variability among bilinguals.
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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 | 0.012 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.004 | 0.009 |
| Open science | 0.010 | 0.003 |
| Research integrity | 0.037 | 0.058 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".