The Perception of Ability Scale for Students:
Bibliographic record
Abstract
for Students The "Perception of Ability Scale for Students " (PASS) develc- d b: F. J. Boersma and J. W. Chapman--formerly known as the "Stude...'s Perception of Ability Scale"--was developed to assess academic self-concepts of elementary school children, especially in grades 3 through 6. The development of the PASS is described, from its initial test with 310 third graders, tnrough its refinement after administration to 642 students in grades 3 through 6 in two elementary schools in Canada. The United States normative study was uhdertaken in 1988, using a sample of 831 children in grades 3 through 6 in Idaho, Oregon, and Washirgton. The mean f,111 scale PASS score for the total sample was 46.49, which is very similar to that determined in Canadian testing. The effects of grade level and ethnic background are discussed. Data are presented concerning the
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 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".