Bibliographic record
Abstract
In the 'knowledge society' increasing emphasis is being placed on independent, resource-based and technology-based inquiry learning. This learning process requires teacher librarians/library media specialists and their teaching teams to have access to an expanding range of curriculum information and teaching/learning methodologies. An outcomes approach to learning in regard to a sequential, developmental and progressive learning of information literacy skills within an information processing framework has been on the agenda and actively pursued by teacher librarians/library media specialists for more than a decade. In addition, teacher librarians/library media specialists have embraced information and communication technologies (ICT) as a means to extend the information literacy skills of their learners. An information skills framework becomes the backbone and 'vehicle' through which learners are able to demonstrate what they know and can do within an outcomes-based curriculum. This inquiry approach is the 'linch-pin' across the curriculum. Combine this with a recognized information skills, and information and communication technology (ICT) continuum, one has the beginnings of a progressive and development outcomes curriculum, which works on increasing levels of sophistication and complexity of tasks. In planning a unit of work the information skills framework provides the backbone to sequence the learning activities according to an inquiry-based approach. The tools and methodologies one uses to activate learning within this framework encourages and fosters the development of information literacy attributes and provides opportunity to engage in ICT skills development. School based planning of information literacy in conjunction with an outcomes approach to the curriculum facilitates an informative reporting process for students, as well as parents, as learners continue the journey through lifelong learning in the 'knowledge society'.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 0.004 |
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".