A neurocognitive investigation of test methods and gender effects in listening assessment
Bibliographic record
Abstract
This is the first study to investigate the effects of test methods (while-listening performance and post-listening performance) and gender on measured listening ability and brain activation under test conditions. Functional near-infrared spectroscopy (fNIRS) was used to examine three brain regions associated with listening comprehension: the inferior frontal gyrus and posterior middle temporal gyrus, which subserve bottom-up processing in comprehension, and the dorsomedial prefrontal cortex, which mediates top-down processing. A Rasch model reliability analysis showed that listeners were homogeneous in their listening ability. Additionally, there were no significant differences in test scores across test methods and genders. The fNIRS data, however, revealed significantly different activation of the investigated brain regions across test methods, genders, and listening abilities. Together, these findings indicated that the listening test was not sensitive to differences in the neurocognitive processes underlying listening comprehension under test conditions. The implications of these findings for assessing listening and suggestions for future research are discussed.
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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 | 0.003 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".