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Bibliographic record
Abstract
Using data collected from 4;042 lessons taught by 19 student teachers, this report examines the extent and purpose of media utilization by student teachers who were completing-field experience requirements for teacher certification in 15 Saskatchewan schools during the fall semester of 1981. Following 'a description of the problem and methodology, a literature review section discusses theoretical backgroudd, prescriptive and descriptive research viewpoints, previous aPproaches_to research, findings of previous studieg, ethnography, teacher planning practices, and an area_of concern generated from the literature. Procedures for the study, which used an ecological approach, are next described; they included participant obServatioh, student teacher interviews, and lesson plan log book entries. Data, the subject of the fourth section, were analyzed to determine what media were used, how media were used, and factors affecting media utilization. A six-page reference list is provided. Appendices include a list'of the Canadian School. Library Association recommended media standards for library demonstration schools, which was used as a survey instrument; a sample of the structured log book record; and interview questiods. Forty-three figures ' are included; (LMM) * Reproductions supplied by EDRS are the best that can be made *-* from the original document.- *
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.939 | 0.855 |
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; the direct Gemma label and the distilled Codex classifier 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".