`I get my facts from the Internet': A case study of the teaching and learning of information literacy in in-school and out-of-school contexts
Bibliographic record
Abstract
This article investigates the intersection between the in-school information literacy practices and out-of-school (i.e. home and community) information literacy practices of a third grade student and examines how this intersection may be contributing to his overall literacy learning. Data collected from field notes; observations of in-school and out-of-school information literacy practices; video-tapings of the home and classroom domains; drawings and writings from the home and the classroom; and interviews with the focal participant were analyzed and organized into recursive themes illustrative of in-school and out-of-school information literacy practices. Analysis revealed that the out-of-school and in-school information literacy practices of the focal participant ran parallel to each other and only intersected in ways in which school practices took precedence. The participant's out-of-school information literacy practices were not strongly recognized or valued in the classroom.
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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 | 0.000 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".