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
This study assesses the information literacy (IL) perceptions of instructors at a technical college in the Middle East, the College of the North Atlantic - Qatar. Students at this college are instructed in four areas of study – engineering technology, information technology, business studies and health sciences – which takes place exclusively in English and uses a Canadian curriculum. A web-based survey sent to instructors asked questions in two general areas on their perceptions of student information literacy based on the Society of College, National and University Libraries (SCONUL) definition. Initially, over half of the respondents believed that their students were information literate. However when asked a series of questions about each of the seven IL skills identified by SCONUL, there was a large discrepancy between what skills instructors wished their students achieved, versus what was actually achieved by the end of their programme. Students’ inability to critically evaluate sources of information was seen as the weakest skill by instructors and was considerably lower than the skill level reported by university professors in similar studies. Instructors also conveyed their belief that students lacked strategies when searching for information. When compared to faculty perceptions of students in universities, overall perceptions of IL competency of college students in this study are lower. The study reinforced the need to provide students with tools/strategies to cope with large volumes of information and, when searching, to select appropriate and credible sources of information for both academic and personal uses.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.190 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it