SOCIAL SURVEILLANCE, VIGILANTISM, AND REVENGE PORN HIRING DECISIONS IN CANADA
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 paper is informed by qualitative research for ethics with emerging and disruptive technologies and ethical dilemmas considering potential areas of concern related to the ability or inability of schools to conduct surveillance on teachers, further noting heterosexual male difficulties with sexual identity in teaching as a cause for a lack of representation, speculation and work place harassment (Martino & Berrill, 2007; Martino, 2008; Parr & Gosse, 2011). From a security and professional standpoint and to remove threat and workplace distractions, exists a requirement for teachers to turn off all location settings (Corriero & Tong, 2016; Jung & Park, 2018; Pooley & Boxall 2020; Qin et al., 2014; Solis & Wong, 2019; Sumter & Vandenbosch, 2019) on their cell phones while at school and a responsibility to monitor personal devices inviting an unparalleled perspective into workplace and social surveillance for moral exemplars and generalized ideas about sexual health in schools.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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