Cyberslacking and the Procrastination Superhighway
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 study was designed to explore the extent to which time spent online was related to self reports of procrastination. A sample of 308 participants (Mean age = 29.4 years, SD = 12.0, 198 females) from various regions of North America completed a survey posted to the World Wide Web. Data collected included demographic information, attitudes toward the Internet, amount of time spent online (at home, work, and school), trait procrastination, and measures of positive and negative emotion. Results demonstrated that 50.7% of the respondents reported frequent Internet procrastination, and respondents spent 47% of online time procrastinating. Internet procrastination was positively correlated with perceiving the Internet as entertaining, a relief from stress, and paradoxically, as an important tool. Internet procrastination was also positively correlated with trait procrastination and negative emotions. Implications regarding Internet procrastination are discussed in relation to procrastination theory and research as well as Neil Postman’s critique of technology.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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