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
Purpose The purpose of this paper is to describe the challenges associated with identifying newspapers of record for local, regional and national newspapers, specifically as those challenges pertain to students’ news media literacy. Visual literacy and information literacy intersections are explored. Design/methodology/approach Newspapers of record for province/territory and state areas of Canada and the United States of America were identified for student project purposes. Criteria for newspaper of record qualification were investigated, refined, and applied to all newspapers reviewed. Findings Distinguishing newspapers of record based on traditional criteria is inadequate in an online environment. Criteria must be more flexible and address both the visual as well as the content aspects of newspapers. Neither database access nor native website access alone is sufficient for identifying these newspapers. Straightforward and definitive identification of these newspapers will no longer be possible. Practical implications Librarians will be faced with focusing on content or visual literacy, addressing both in a meaningful way during a single instruction session will be difficult. More strategic instruction within and across disciplines is necessary to produce news media-literate and savvy students. Originality/value News media literacy for students in all disciplines is an urgent need and must incorporate both visual and content literacies. In a time of proliferation of news sources, understanding the challenges associated with identifying newspapers of record for both librarians and students is a necessary step in this area of information literacy.
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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