Impact of Promotional Events and Routes of Access on OurDigitalWorld’s Digital Newspaper Collection
Bibliographic record
Abstract
A site traffic analysis study of 24 newspaper sites from OurDigitalWorld’s (ODW) digital newspaper collection and the Ontario Community Newspaper (OCN) aggregate site was completed between 2016 and 2018. Digital newspapers provide access to past and current heritage news, vital statistics, and newspaper clippings. Securing grants from government agencies is essential for local heritage organizations to launch, build, and maintain their digitization initiatives in order to ensure the continuity of local culture and heritage of the past to people of the future. Thus, assessing the impact of (e.g. site usage, Web presence) and routes of Web access to digital newspaper collections is important to determine promotional strategies to increase usage and awareness of the collections. Recommendations were made for ODW, public libraries, and heritage organizations to increase the Web presence and awareness of ODW’s digital newspaper collection and to educate users about the various uses of the newspaper sites. Keywords: Digital newspaper collections, site traffic analysis, web presence, user awareness, user education
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".