Research is a verb: Exploring a new information literacy-embedded undergraduate research methods course
Bibliographic record
Abstract
This presentation introduces a potential solution to widespread and longstanding concerns about undergraduates’ research, writing, and critical thinking skills: a new activity-based, discipline-specific research methods course. The presenters explore course design, course-embedded information literacy learning, course effectiveness evaluation, faculty-librarian collaboration, and the role of reflection in teaching and learning. Cette communication presente une solution potentielle aux preoccupations repandues et de longue date concernant les habiletes de recherche, de redaction et d'analyse critique des etudiants universitaire de premier cycle : un nouveau cours de methodologie de recherche base sur des activites et adaptee a la discipline. La presentation portera sur la conception de cours, des activites pedagogiques favorisant la maitrise de l'information, l'evaluation de l'efficacite du cours, la collaboration entre professeurs et bibliothecaires et le role de la reflexion dans l'enseignement et l'apprentissage. ***Full paper in the Canadian Journal of Information and Library Science ***
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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 | 0.012 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".