Investigating the effect of contextual clues on the processing of unfamiliar words in second language listening comprehension
Bibliographic record
Abstract
This study examines the effect of contextual clues on the use of strategies (inferencing and ignoring) and knowledge sources (semantics, morphology, world knowledge, and others) for processing unfamiliar words in listening comprehension. Three types of words were investigated: words with local co-text clues, global co-text clues and extra-textual clues. Data were collected from 20 participants using the procedures of immediate retrospection without recall support and of stimulated recall. The results indicate that contextual clues are an important factor in learners’ treatment of unfamiliar words in listening comprehension. Contrary to what some theories of inference generation predict, this study reveals that learners use the inferencing strategy more frequently for words with global co-text clues and words with extratextual clues than for words with local co-text clues. In terms of the use of knowledge sources for inferring word meaning, the learners in this study use the knowledge sources in accordance with the different types of contextual clues.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".