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Record W2013042863 · doi:10.1177/0270467612469074

Re-Mediating Research Ethics

2012· article· en· W2013042863 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

VenueBulletin of Science Technology & Society · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicPrivacy, Security, and Data Protection
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsLicenseSign (mathematics)Meaning (existential)Process (computing)Informed consentEmpirical researchKnowledge managementResearch ethicsPsychologyInternet privacyComputer scienceEngineering ethicsPublic relationsSociologyEpistemologyPolitical scienceEngineeringMedicine

Abstract

fetched live from OpenAlex

This article is a theoretical and empirical exploration of the meaning that accompanies contractual agreements, such as the End-User License Agreements (EULAs) that participants of online communities are required to sign as a condition of participation. As our study indicates, clicking “I agree” on the often lengthy conditions presented during the installation and updating process typically permits third parties (including researchers) to monitor the digitally-mediated actions of users. Through our small-scale study in which we asked participants which terms of EULAs they would find agreeable, the majority confirmed that they simply clicked through the terms presented to them without much knowledge about the terms to which they were agreeing. From a research ethics standpoint, we reflect upon whether or not informed consent is achieved in these cases and pose a challenge to the academic research community to attend to the socio-technical shift from informed consent to a more nebulous concept of contractual agreement, online and offline.

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)0.028
metaresearch head score (Gemma)0.024
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.517
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0280.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0040.020
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.108
GPT teacher head0.415
Teacher spread0.308 · 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