Bibliographic record
Abstract
Abstract\nThe contextual landscape for superintendents in Alberta is changing. Managing the board was once the main responsibility of the superintendent. With the implementation of the superintendent leadership quality standard, superintendents are now expected to demonstrate a number of competencies as part of their role. One major competency is supporting effective governance practices of the board they serve. This Organizational Improvement Plan (OIP) addresses the Problem of Practice (PoP) focused on building superintendent and trustee efficacy in moving towards more effective governance practices. The objective of this OIP is to introduce a new approach to governing which will result in effective governance practices. The intended outcome of developing effective governance practices is improved student success. This will require collaboration between superintendent, senior administration and the board of trustees in order for organizational change to occur, and be sustained. This process will require that trust be fostered and maintained throughout. Cultural and political factors must be taken into consideration, as well as respecting the history of the board and the jurisdiction. This will help maintain trust by the board that this change is designed to help them improve, as this process will challenge trustees to engage in significant changes to how they operate as a board and how they work with each other and the superintendent. It is recognized that this process will take time, and will utilize a leadership from the middle approach. Implementing a new approach to governance however will provide benefit to students and staff for many years to come.
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 | 0.018 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".