An Information Literacy Tutorial for the Valencian Educational Context (Spain)
Bibliographic record
Abstract
This paper presents an IL tutorial developed by the School Libraries Working Group from the Institute of Valencian Librarians and Documentalists and the Research Group on Education and Citizenship from the University of Balearic Islands (Spain). Firstly, a description of the information literacy training in Spanish educational centers is given. Secondly, the contents of the tutorial are explained. This tutorial has been developed by following the Three-Phase Model (Blasco and Durban, 2011), a model scientifically acknowledged and widely used in the Spanish context. Moreover, recommendations from educational researches and other IL tutorials are considered as well. Finally, an assessment tool is presented with the aim of improving this instrument and to adapt it to the real needs of teachers and students. The first assessment of this tutorial will be developed during the Doctoral Forum that will be celebrated on June-July 2015 in Maastricht.
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How this classification was reachedexpand
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 | 0.001 |
| 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 | 0.002 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".