Bibliographic record
Abstract
The present study was designed to examine whether nonverbal reinforcement through nodding and smiling could alter or cause people to change their answers in an interviewed questionnaire. It also examined whether this effeet would be stronger for males than females. The study involved twenty undergraduate university students attending Huron College at the University of Western Ontario. Ten were males and ten were female. The participants were interviewed with a questionnaire containing 25 yes or no answer questions related to study habits and attitudes towards school. For example, questions like "Do you feel you are generally a good student. " Participants were also informed that the experimenter might be attempting to influence their answers. Each interview was administered to the participants individually. Results did not support the original hypothesis. There was no significant difference between the control and experimental group. Males were also not affected any more than females. Limitations as well as ideas for further research are discussed. Reinforcers are present all around us in our everyday lives. They can give students incentives to work harder, they can help teach lessons to young children, or they
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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 | 0.035 | 0.249 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".