Bibliographic record
Abstract
The program of studies for a reading elective course for avid or potentially avid readers at the junior high school level contained in this guide represents an attempt to address problems experienced by-Young adult readers. The program would provide time for them to read, and it would allow students the opportunity to value reading whether it be periodicals, newspapers, novels. Additionally, the program would allow students to progress through the stages of reading that would enhance their chances of becoming lifelong readers, and it would allow them the opportunity to discuss what they are reading and extend themselves in the process. Most importantly, the program will also allow students to make their own reading selections, an issue that is often overlooked in language arts classes. The program guide contains the following sections: General Introduction; Course Assessment; Community Service Projects; On-going Individual Reading Assignments; Award Winning Books; Film/Novel Study; Book Challenges and Censorship; and Author Interviews. (Contains 23 references.) (NKA) Reproductions supplied by EDRS are the best that can be made from the original document. Elective Reading Course for Grades 7-9 1 Elective Reading Course for Grades 7-9 Kathy Thomson University of Alberta, Edmonton, Alberta U.S. DEPARTMENT OF EDUCATION Office of Educational Research and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) This document has been reproduced as received from the person or organization originating it. Minor changes have been made to improve reproduction quality. Points of view or opinions stated in this tzt document do not necessarily represent official OERI position or policy. O ci) C.) BEST COPY AVAILABLE 1-02 1 PERMISSION TO REPRODUCE AND DISSEMINATE THIS MATERIAL HAS BEEN GRANTED BY
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.377 | 0.261 |
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".