Bibliographic record
Abstract
We are now living in a world where one can download information onto smaller laptops, notebooks, and even cell phones. This opens the school library to the wide world, and, for school librarians, it requires them to rethink their role in the lives of students. Loertscher et al in their The New Learning Commons: Where Learners Win! Reinventing School Libraries and Computer Labs describe a physical facility with a “completely flexible learning space where neither computers nor books get in the way.” (p. 11) This open, flexible space has two major functions, the Open Commons and the Experimental Learning Center. The central focus was to transform the idea of a library as a storage and retrieval space into a fresh new learning space. By opening up the space and using various movable pieces of furniture, the space could be re-arranged at any time of the school day to accommodate individuals, small groups, and large groups while balancing the need for quiet, purposeful group work, mobile technology, project-based learning, and even performance.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.017 | 0.014 |
| Open science | 0.002 | 0.021 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.111 | 0.021 |
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".