Building a solid foundation for reading: an analysis of curriculum, policy, and instructional material documents
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.
Bibliographic record
Abstract
Scientific reading research (SSR) has demonstrated that all students should be taught foundational reading skills (phonological awareness and orthography) to become fluent word readers. Curriculum/policy documents and instructional materials should reflect scientific reading research. In this study, the following research question was examined: Are there differences in the extent to which the reading-related resources (curriculum/policy documents and instructional materials), provided to two different groups of teachers—classroom teachers and resource teachers in one Nova Scotia jurisdiction—reflect evidence from the scientific studies of reading? Content analysis was used to examine the extent to which the reading-related resources (curriculum/policy documents and instructional materials), provided to two different groups of teachers—classroom teachers and resource teachers in one Nova Scotia jurisdiction—reflect evidence from the scientific studies of reading. The content analysis used two approaches to investigate evidence of SSR in the curriculum/policy documents and instructional materials—analysis using an established SSR analytical framework, and keyword analysis of the content of the materials. This study found evidence of different messaging in the curriculum/policy documents and instructional materials for classroom teachers and resource teachers. The implications of the findings for collaborative practice are discussed.
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 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) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it