From the spatial ego to cognitive control
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Ellen Bialystok’s early work from 1976–1988 has had a lasting influence on the fields of bilingualism and linguistics. This chapter reviews her seminal work establishing bilingualism as a cross-disciplinary area of study in 1976. It then explores Bialystok’s language processing research of the 1980’s, articulating two of her crucial, yet often overlooked achievements. First, Bialystok’s early information processing models for word-level representations set the stage for an explosion of cognitive bilingualism research by identifying cognitive processes involved in second language acquisition. Second, her work set a precedent for understanding the spectrum of language experiences and their complexities, providing essential insight into why even subtle distinctions should be considered and reported when describing bilinguals. Presciently, Bialystok’s early work anticipated current understandings and future directions for bilingualism research, making her sustained contributions to the area an invaluable asset for continued exploration.
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.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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