Blurred Boundaries: Social Media Privacy and the Twenty-First-Century Employee
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
<p>This paper discusses the future of employee privacy in social media.</p> <p>Part I reviews the extant legal landscape with an emphasis on three general areas of employer activity related to employees’ online activities: (1) monitoring and surveillance of employee social media profiles, (2) evaluation of applicants’ social media profiles and online speech in making hiring decisions, and (3) limiting employees’ off-duty online activities.</p> <p>Part II reports the results of an empirical research project into the expectations of young employees regarding the role of social media in the workplace. We asked respondents about a wide range of topics related to social media, such as the extent of personal information they post online, the privacy-protective measures they employ on social media sites, their level of concern regarding their privacy online, and their attitudes and expectations regarding the use of social media in the workplace. Despite granting employers access to information about their private lives by participating online, respondents expect that work life and private life should be generally segregated — and that actions in one domain should not affect the other.</p> <p>Guided by the survey findings and legal examples from international jurisdictions, in Part III we offer workable recommendations designed to protect employees’ desire to maintain some separation between personal and professional contexts.</p>
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| 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