Eliciting information from groups: Social information and the Concealed Information Test.
Bibliographic record
Abstract
Polygraph recordings of physiological reactions to a Group Concealed Information Test identified exposure to one of three mock village scenarios. Sixty-nine participants worked in groups on a card construction project while viewing tea making, bomb making, or no event. Participants denied knowledge of the events, but skin resistance and heart rate scores analysed by means of a multivariate analysis of variance, F(8, 106) = 4.08, and analyses of variance showed the tea group responding most on tea-related questions on skin resistance, F(2, 56) = 11.57, and heart rate, F(2, 56) = 4.58. The bomb group was highest for skin resistance, F(2, 56) = 6.17. Four of five and three of four groups who witnessed bomb and tea making, respectively, were identified at the 90% level of confidence, with combined scores suggesting that populations exposed to dangerous activities can be selectively distinguished.
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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 | 0.002 | 0.024 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".