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Record W2062646142 · doi:10.1089/109493102760275590

Lost in Cyberspace: The Web @ Work

2002· article· en· W2062646142 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCyberPsychology & Behavior · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsYork University
Fundersnot available
KeywordsCyberspaceThe InternetBusinessWork (physics)PornographyAction (physics)Public relationsInternet privacyPolitical scienceEngineeringWorld Wide WebComputer scienceLaw

Abstract

fetched live from OpenAlex

Most U.S. businesses provide Internet access for their employees. The current study surveyed representatives from 224 organizations on issues related to Internet abuse. Nearly 70% of companies surveyed had more than half of their employees online. Almost all companies had Internet access policies (IAP) in place (82.6%), outlining appropriate and inappropriate use of the Internet in the workplace. Despite IAPs, U.S. businesses are facing a severe problem. More than 60% of companies had disciplined-and more than 30% had terminated--employees for inappropriate use of the Internet. Accessing pornography, online chatting, gaming, investing, or shopping at work were the leading causes for disciplinary action or termination. Many companies were not concerned about the severity of the problem (49.6%) and/or had done very little to enforce their IAPs (59.4% use self or managerial oversight, and only 37.5% use filtering software).

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.236
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.003

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.

Opus teacher head0.037
GPT teacher head0.341
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it