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Record W4408062491 · doi:10.5771/9781607095811

Teaching Middle School Language Arts

2010· book· en· W4408062491 on OpenAlexaboutno aff
Anna J. Small Roseboro

Bibliographic record

VenueRowman & Littlefield Publishers eBooks · 2010
Typebook
Languageen
FieldSocial Sciences
TopicEducation and Technology Integration
Canadian institutionsnot available
Fundersnot available
KeywordsThe artsLanguage artsMathematics educationVisual artsSociologyPedagogyLinguisticsArtPsychologyPhilosophy

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.418
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.026
GPT teacher head0.300
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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