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Record W2093449436 · doi:10.1086/499642

A Content Analysis of Vocabulary Instruction in Social Studies Textbooks for Grades 4-8

2000· article· en· W2093449436 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Elementary School Journal · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsLearning Partnership
Fundersnot available
KeywordsVocabularyContent analysisMathematics educationPsychologySocial studiesMatching (statistics)Vocabulary developmentBlankComputer scienceRepresentation (politics)Word (group theory)Teaching methodLinguisticsSociologySocial science

Abstract

fetched live from OpenAlex

The purpose of this study was to investigate the nature and representation of vocabulary instruction in the teachers' editions of social studies textbooks for grades 4-8. Using social studies textbooks found on the Texas state adoption list, we conducted a content analysis of each teacher's edition for grades 4-8. Findings indicated that although those publishers realized the importance of vocabulary, they continued to include vocabulary activities that represent traditional ideas about how to support vocabulary learning in the teaching of social studies. Many activities focused on an associational level of word knowledge, such as matching definitions and fill-in-the-blank exercises. Instructional suggestions calling for a higher, generative level of word processing, such as writing tasks, were problematic given the lack of student support prior to such activities.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score0.840

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.264
GPT teacher head0.437
Teacher spread0.173 · 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