Bibliographic record
Abstract
Teaching Middle School Language Arts is the first book on teaching middle school language arts for multiple intelligences and related 21st century literacies in technologically and ethnically diverse communities. More than 670,000 middle school teachers (grades six through eight) are responsible for educating nearly 13 million students in public and private schools. Thousands more teachers join these ranks annually, especially in the South and West, where ethnic populations are ballooning. Teachers and administrators seek practical, time-efficient ways of teaching language arts to 21st century adolescents in increasingly multicultural, technologically diverse, socially networked communities. They seek sound understanding, practical advice, and proven strategies for connecting diverse literature to 21st century societies while meeting state and professional standards. Teaching Middle School Language Arts provides strategies and resources that work. Roseboro's book provides an entire academic year of inspiring theory and instruction in multimedia reading, writing, and speaking for the 21st century literacies that are increasingly required in the United States and Canada. An appendix includes supplementary documents to adapt or adopt, and a companion web site is designed to continue communication with readers.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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; both teacher heads agree on what is shown here.
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".