Bibliographic record
Abstract
Welcome to the Electronic Journal for Inclusive Education and Happy New year and Happy New Decade. Our journal continues the conversation concerning inclusive education with this new edition. Ms. Elizabeth Collett and Dr. Mary Jane Harkens explore inclusive education from the perspective of pre-service teachers. Their opening paragraph has some very powerful statements. Mr. Charles Zascavage and Dr. Victoria Zascavage provide a compelling look at adapting and redesigning a web-mastering course with increased achievement for both students with special needs and general education students. The perspective is from a business education teacher and supervisor. Ms. Christina DeRoche provides a qualitative study into an inclusive classroom in Northern Ontario. She explores student interactions and uses Goffman’s concept of stigma to analyze how students with Specific Learning Disabilities react or act within the classroom. Elizabeth Kirby Fullerton and Caroline Guardino discuss an ethnographic study of teacher and student perceptions of a modified inclusive classroom. Involves some intervention etc. Dr. Carl A Saltarelli investigates the relationship between early college credit and achievement in first time undergraduate students.
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 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 | 0.001 |
| 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".