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
Purpose: Researchers and scholars have called for greater attention to collaboration among and between educational leaders in districtwide reform. This work underlines the important social aspect of such collaboration and further investigates the type of professional interaction among/between district and school leaders particularly around the Common Core State Standards (CCSS) and characterizes such interaction by key factors. Research Method: The work takes place in one school district of more than 30 schools serving students from traditionally marginalized backgrounds. Descriptive statistics, multilevel social network modeling, and network sociograms are used to understand the characteristics of professional interactions around CCSS implementation among district and site leaders. Findings: The findings indicate similarities and differences in characteristics of leaders who likely seek CCSS advice and leaders who likely provide that CCSS advice. Leader self-efficacy in implementing the CCSS positively explains the likelihood of both seeking and providing advice behaviors, and yet other factors (organizational learning, leadership, job satisfaction, and CCSS beliefs) each makes different contributions to the likelihood of seeking and/or providing the CCSS advice. Conclusion and Implications: This work suggests a discrepancy of leaders’ perceptions between advice seekers and providers, signaling a need for closing the perception gap between advice seekers and providers such that the leadership team could better craft coherent norms of collaboration in instructional improvement. Understanding the “why” of CCSS advice ties may help guide leaders toward the “how” to align professional and social aspects of change.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.005 |
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