Negotiating Visibility: Mediating Presence through Zoom Camera Choices in Post-Secondary Students during COVID-19
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 at a large and socially diverse urban university completed an anonymous survey examining online learning experiences during the COVID-19 pandemic with an emphasis on decisions to keep their cameras on or off during synchronous class. The 505 student respondents used 7-point scales to assess their school performance and everyday life experiences during the pandemic, general classroom values, pre-pandemic and current pandemic experiences, technological proficiencies related to Zoom, and camera on/off attitudes, as well as the online behavior of professors, and the role of social media in their everyday lives. The findings underscored two motivations underlying school engagement. Students could be motivated by a need for belonging involving authentic self-presentation while experiencing the emotional presence of others, and/or be instrumentally motivated by a need to perform well and advance their careers. The importance of professors creating a safe online space to foster a sense of belonging was highlighted. Finally, the findings show that feelings about having one’s camera on or off during online classes are related to everyday social media experiences. The social-emotional and pragmatic aspects of university education are complementary facets of a university experience.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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