Should linguistics be applied and, if so, how?
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 Research on second language (L2) acquisition in the generative tradition (GenSLA) addresses the nature of interlanguage competence, examining the roles of Universal Grammar, the mother tongue and the input in shaping the acquisition, representation and use of second languages. This field is sometimes dismissed by applied linguists as irrelevant because it does not provide direct applications for language teaching. However, the assumption that theories must have applications involves a fundamental misconception: linguistic theories explore the nature of grammar; GenSLA theories explore the nature of language learning. No such theory entails that language must be taught in a particular way. Nevertheless, potential applications can be identified: examples are presented that describe aspects of language that do not need to be taught, properties that might benefit from instruction, and cases where textbooks provide inadequate information. I argue that linguistic theory and GenSLA theory have more to offer in terms of considering what aspects of language might or might not be taught rather than how languages should be taught.
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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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