Walking in Their Shoes: Students’ Perceptions of Large-Scale High-Stakes Testing
Bibliographic record
Abstract
Abstract: With the implementation of the Ontario Secondary School Literacy Test (OSSLT) in 2002, Ontario became the first province in Canada requiring successful completion of a large-scale high-stakes literacy test for high school graduation. We began to explore and analyze students’ perceptions of this testing program in terms of their preparation for the test, the test’s impact and value, and the potential influence of such a testing program on the students’ views about literacy. Our study used qualitative data obtained through focus groups and interviews with students who were either successful or unsuccessful on the OSSLT. The students recalled specific test preparation for the OSSLT, often at the expense of their regular schooling. Following test instructions was a clear message to the students, leading to formulaic test responses and a narrowly expressed view of literacy. Potentially important differences were also found between the successful and unsuccessful students.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".