Research timeline: Second language communication strategies
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
Speakers of a second language (L2), regardless of proficiency level, communicate for specific purposes. For example, an L2 speaker of English may wish to build rapport with a co-worker by chatting about the weather. The speaker will draw on various resources to accomplish her communicative purposes. For instance, the speaker may say ‘falling ice’ if she has forgotten the word ‘hail’ or may repeat the last few words of her interlocutor's utterance to show that she is listening and engaged. The term communication strategies (CSs) refers to the strategic use of various resources (both linguistic and non-linguistic) for communicative purposes. While speakers also use CSs in their native languages (L1s), research on L2 CS use is particularly interesting because speakers’ L2 linguistic resources and the associated cognitive processes are typically less developed, compared to those in their L1. Therefore, for L2 users to accomplish their communicative purposes in the L2, it is important that they effectively use the resources available to them. This research timeline presents key developments in theoretical understanding and empirical research targeting L2 CSs, mainly in oral communication. The timeline places particular emphasis on the evolution of theoretical approaches to the study of CSs and the consequent expansion of research in terms of the nature of participants, speech samples, and analytical tools used.
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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 | 0.002 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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