Bibliographic record
Abstract
OBJECTIVES: To compare affect recognition by people with and without traumatic brain injury (TBI) for (1) unimodal and context-enriched multimodal media; (2) positive (happy) and negative emotions; and (3) neutral multimodal stimuli. PARTICIPANTS: A total of 60 people with moderate to severe TBI and 60 matched controls. MEASURES: (1) facial affect, (2) vocal affect, and (3) multimodal affect. RESULTS: Compared with controls, people with TBI scored significantly lower on both unimodal measures but not on the multimodal measure. Within- group comparisons for people with TBI revealed that they were better at recognizing affect from multimodal than unimodal stimuli. As a group, participants with TBI who were categorized as having impaired facial/vocal affect recognition were less accurate at recognizing all emotions, including happy, than unimpaired participants. Neutral stimuli were more poorly identified by participants with TBI than by those with controls. CONCLUSION: Context-enriched multimodal stimuli may enhance affect recognition for people with TBI. People with TBI who have impaired affect recognition may have problems identifying both positive (happy) and negative expressions. Furthermore, people with TBI may perceive affect when there is none.
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How this classification was reachedexpand
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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 teacher head, 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".