Bibliographic record
Abstract
The purpose of this research study was to ascertain the relative level of adoption of the use of web-based media by undergraduates, the results of which will be considered in the creation of health promotion messages and campaigns that are distributed through electronic means to a campus audience. The primary research conducted was a web-based survey of UVM undergraduates, inquiring about the extent to which they consume web delivered media programming, of both news and entertainment, and how they communicate with their peers. Through the use of descriptive statistics, it was learned that more than half of UVM undergraduates (58.7%) watch between one to five minutes of web-based video on a weekly basis, suggesting that the creation of video-based health promotion programming might indeed prove to be an effective approach to raising awareness and promoting behavior change for this population. Additional data reveals how much time respondents do a variety of media activities, as well as their most used means of communication with peers when not with them in person. The study concludes that there is a high enough adoption of the use of web-based media by undergraduates to warrant creating health promotion messages and campaigns that are distributed through electronic means to a campus audience.
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.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".