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Record W4244950253 · doi:10.32920/ryerson.14651715.v1

Comprehending privacy in hindsight

2021· preprint· en· W4244950253 on OpenAlex
Anja Keßler

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicFreedom of Expression and Defamation
Canadian institutionsToronto Metropolitan UniversityYork University
Fundersnot available
KeywordsPremiseScope (computer science)Information privacyInternet privacyHindsight biasContext (archaeology)Right to privacyPrivacy policyPolitical scienceLaw and economicsPerspective (graphical)SociologyComputer sciencePsychologyEpistemologyHistorySocial psychology

Abstract

fetched live from OpenAlex

"In this paper, I will focus on reinvigorating a sense of what privacy is, tracing its cultural significance from an interdisciplinary perspective, culminating in a renewed definition of privacy in the digital age. I will add a brief examination of the Canadian legal context to ground what is predominantly a theoretical exploration. This paper is not primarily concerned with the actual scope of the loss of privacy, although it is based on the assumption that recent online developments are harbingers of the near total erosion of privacy. The premise of this paper is the curious paradox of living in a society that had had, until September 11, 2001, unprecedented levels of privacy protection, while at the same time undergoing rapid devaluation of privacy rights, seemingly voluntarily sacrificed by citizens/ consumers in aid of market advantages through globalized networks.l"--From the introduction page 2.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.800
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.066
GPT teacher head0.368
Teacher spread0.302 · 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

Quick stats

Citations0
Published2021
Admission routes2
Has abstractyes

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