ENGAGEMENT PORTRAITS AND (SOCIO)LINGUISTIC PERFORMANCE
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
This study considers, both transversally and longitudinally, advanced second language (L2) learners’ profile portraits, how these correlate with their sociolinguistic and linguistic performance, and how changes in these portraits over time connect to changes in sociolinguistic performance. The results show a strong correlation between high degrees of learner engagement, as captured in the profile portraits, and the three measures of sociolinguistic and linguistic performance. The longitudinal data point to an increase over time both of levels of engagement and of use of informal sociolinguistic variants. By measuring the impact of learners’ evolving engagement on their use of sociolinguistic variants as they progress to a more advanced level of proficiency in their L2, the present study shows that an index of engagement can usefully summarize the multiple effects captured by the learner profile portraits and can shed light on rates of use of certain forms.
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 | 0.001 |
| 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) | 0.001 | 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