RESEARCH NOTEBOOKS Developing Students' Critical Thinking Skills in KAETSU ARIAKE Junior & Senior High School library
Bibliographic record
Abstract
We, Kaetsu Ariake, regard 21st century skills as one of the most important factors for our students to acquire. Especially, critical thinking (CT) and its skills are indispensable. Thus, we offer special classes for the 7th, 8th, and 9th grade students to become better thinkers. Teachers from a variety of subjects teach the classes, which are held in our school library with the help of its librarian. The librarian teaches the students library skills, supports the teachers, and edits the Research Notebooks. The Research Notebooks are the key to managing the three-year course. We refer to the six-step learning program and Revised Bloom’s Taxonomy in order to develop the Research Notebooks. Using the Notebooks, the students can develop good insights and skills to do research. By making use of the library, getting the help of the librarian, and using the Research Notebooks, we promote 21st century skills throughout our school.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.029 | 0.007 |
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".