The inner workings of anxiety in second language learning
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 The paper examines anxiety as an important emotion for language learning and communication, using the intraindividual, dynamic emotional experience as a grounding for understanding the antecedents and consequences of anxiety arousal. The bulk of the existing literature, as reflected in three recent meta-analyses, treats language anxiety as a stable individual difference (ID) factor, documenting its correlations with test performance, course grades, and other indices of language proficiency. This literature contributes to understanding the impact of language anxiety on various linguistic processes. However, the typical ID approach has difficulty documenting the inner workings of language anxiety, and especially its dynamic relationships with other emotions, language processing, and the ebb and flow of anxiety in social situations. To address the limitations of the typical ID approach, this paper will argue that starting from an intrapersonal and dynamic perspective allows more detailed consideration of the myriad ways anxiety interacts with language, situating it among other influential processes that unfold in real time, including the complex interactions among positive and negative emotions. The paper will draw on the work emerging from the perspective of complex dynamic systems, with a focus on the value of individual-level methods for generating new types of research questions. The idiodynamic approach to research will be used to document the complexity of language anxiety in practice. The paper concludes with a call for more individual-level, highly contextualized research to document the inner workings of anxiety within individuals.
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 | 0.002 |
| 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