Competence in Information Technology Defined in Terms of Learning Expectations: A Case Study of Database Management
Bibliographic record
Abstract
The primary objective of Library and Information Science (LIS) education is to equip LIS graduates with the professional knowledge and skills to select, acquire, organize, store, maintain, retrieve and disseminate recorded information that will be commensurate with the demands of an entry level position (Reitz 2004, 415). LIS education should…L’objectif préliminaire de l’enseignement de la bibliothéconomie et des sciences de l’information (BSI) est de fournir aux diplômés de BSI les connaissances professionnelles et les compétences nécessaires pour sélectionner, acquérir, organiser, stocker, gérer, repérer et diffuser l’information enregistrée, tout en tenant compte des exigences d’un poste de niveau débutant (Reitz 2004, 415). La formation de BSI doit…
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.017 |
| Open science | 0.002 | 0.001 |
| 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".