Turtles all the way down: Micro-cues and piecemeal transfer in L3 phonology and syntax
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
There are several theories which tackle predicting the source of third language (L3) crosslinguistic influence. The two orthogonal questions that arise are which language is most likely to influence the L3 and whether the influence will be wholesale or piecemeal (property-by-property). To my mind, Westergaard’s Linguistic Proximity Model (LPM) is preferable to other theoretical models (say Rothman’s Typological Primacy Model) insofar as it is consistent with many aspects of L2/L3 phonological learnability that I am familiar with. Westergaard proposes a structure-based piecemeal approach to the explanation of third language acquisition (L3A). The model is driven by parsing and dictates that the first language (L1) or second language (L2) structure which is hypothesized to be most similar to the L3 structure will be the one to transfer.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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