Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Students’ understanding and integration of information literacy (IL) skills are fundamental to higher education and lifelong learning. Development and implementation of thirteen mobile lessons application (http://renmil.ca/ ) in the Mobile Information Literacy Tool (MIL) was the result of a unique collaboration between faculty and the library. Lessons demonstrated how to locate, evaluate, and use information effectively. Mixed methods pilot study findings (Hanbidge, Sanderson, & Tin, 2015) informed the Canadian project’s second stage analysis to determine fluency in digital literacy skills and testing of the MIL tool. One hundred and twenty-eight undergraduate Arts students from eight different classes majoring in psychology, social work, English or social development studies participated in the study to determine the effectiveness of using mobile technology to enhance their IL skills. Preliminary successes and experiences with overcoming the barriers to support anytime, anywhere student mobile information literacy training are discussed and future directions are recommended.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.060 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it