Language acquisition and bilingualism: Consequences for a multilingual society
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
Language is the key interface between our social and cognitive worlds. As a social tool, it is the means by which human interactions occur, social position is determined, and educational opportunities are defined; as a cognitive instrument, it provides access to concepts and meanings, the logical system for problem solving, and creates the organizational basis for knowledge. It is not an accident that a significant portion of all developmental research is addressed to issues of language acquisition and language performance, that the primary focus of school curricula in the early years is on the language arts, and that an ongoing concern of parents is their children's language acquisition. Language has consequence. However, language acquisition occurs in a context, and differing environments are bound to influence the way language is learned and used by young children. Children growing up in bilingual environments will have different experiences than those who encounter only one language, and these differences may have a profound impact on children's social, cognitive, and linguistic development. Understanding how these linguistic environments affect children's development requires an examination of the interactions between the social and cognitive dimensions of development in different learning environments.
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 | 0.000 |
| 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 it