Bibliographic record
Abstract

 
 
 In the United States, educators have the opportunity to apply for National Board Certification (NBC), a rigorous process that awards them the highest recognition of teacher mastery and accomplishment in the nation. A core proposition of NBC, the management and monitoring of student learning, is strongly related to self-regulated learning (SRL) and the role of the teacher librarian (TL). This research investigates the differences and similarities between the application of SRL strategies in the teaching of two groups of TLs in the US: five with NBC and five without NBC. Using interviews and teaching observations, researchers found similar practice of SRL strategies by both groups in their teaching. However, in the interviews, the TLs with NBC were better able to articulate and provide context for how they teach students SRL strategies. These findings support research from other scholars regarding NBC (Johnson, 2009; Strong et al., 2007; Unrath, 2007).
 
 
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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; a candidate call from one teacher head, not a consensus.
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".