Bibliographic record
Abstract
ELA for M/S: A Guidebook for Beginning Teachers (ELA for M/S is an acronym: English and Language Arts for Middle-and-Secondary schools) is designed to enable ENGL 478: Literature for Middle and Secondary Schools and ENGL 480: Internship students to develop competence in their field. The book also prepares ENGL 579: Professional Semester and Follow-up students to transition into professional life. The book's contents includes 13 chapters: 1. Eight Pedagogical Imperatives; 2. Four Theories: Bloom, Gardner, Piaget and UDL; 3. Three Teaching Approaches; 9. Constructing Tests; 10. Writing Templates; 11. Tragedy for non-English Majors; to name a few. ELA for M/S is illustrated with 15 photos I took during The Little Red Schoolhouse Project, when my research assistants were Laura Allgood and Lindsey Lockhart (now Viets) of the Honors College. The Project's western terminus is the Sunny Side School located at The Little House on the Prairie site in Independence, Kansas; the eastern terminus is Avonlea School (where Lucy Maud Montgomery, author of the Anne of Green Gables books, taught; Anne Shirley, like Laura Ingalls, teaches in a one-room schoolhouse) on Prince Edward Island off the coast of Canada.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.212 | 0.225 |
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".