Bibliographic record
Abstract
Abstract Editor's Summary As digital natives, the vast majority of teens are used to cellphones, text messaging, social networking sites and other forms of electronic communications and technologies. Though rooted in the digital world for many of their daily activities, teens lack basic information literacy skills for academic tasks and other demands. Specific instruction through the educational system may not be feasible, but it may be possible to build teens' information competence through interactive virtual learning environments. Game‐style virtual environments are highly motivating and engaging, providing opportunities for repeated practice and reward for persistence and achieving goals. A virtual reality library, VRLibrary, was constructed, collaboratively designed by young teens and adults, based on the metaphor of a physical library. Teens could wander the virtual space and browse links to age‐appropriate websites presented as virtual books. VRLibrary was very positively received and succeeded at engaging teen users. A librarian avatar could be incorporated to provide help as needed with a user's information seeking.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 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".