Collaborative Leadership in School Library Learning Commons
Bibliographic record
Abstract
We have a brand new school library standards document in Canada to assist schools with transitioning to futures oriented teaching and learning. Leading Learning: Standards of Practice for School Library Learning Commons in Canada was officially released to the world in June 2014 and is now finding its way into strategic planning around the country. The publication of Leading Learning is an event of true historic significance. As the document says, “Learners have a right to expect good school libraries in every school in Canada.” Standards can indeed help measure practice, but Leading Learning does much more. By focusing on the needs of the learner, Leading Learning provides a framework for growth. Every school, no matter the status of its library program, can find itself in this framework and decide on tangible steps for improvement. The development of Leading Learning brought together input from every province and territory in the country, and successfully developed standards for growth that are meaningful within this very disparate context. This is a remarkable achievement.
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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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.008 |
| Scholarly communication | 0.016 | 0.008 |
| Open science | 0.002 | 0.020 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.055 | 0.008 |
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".