"What if I don’t know the answer?": Fifth-grade Students’ Responses to Uncertainty in Test-Taking
Why this work is in the frame
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Bibliographic record
Abstract
Fifth-grade students watched a short video and then responded to multiple-choice items, including several without correct answers. Based on computer-supported stimulated recall and semi-structured interviews, we tested three common assumptions about what students are thinking when they respond to multiple-choice items in spite of being uncertain of the correct answer. We found that none of the assumptions applied to all students. For example, many of the students believed leaving items blank was unacceptable, in part because it might create the impression that they were not trying on a test. Furthermore, although most students recognized when they were uncertain, a few did not. Keywords: multiple-choice items, response processes, uncertainty, meta-memory, guessing
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it