MétaCan
Menu
Back to cohort
Record W4318475394 · doi:10.7771/1481-4374.4092

Stalking Oneself: The Fantasmatic Intersubjectivity of Google

2023· article· en· W4318475394 on OpenAlex
Alois Sieben

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

VenueCLCWeb Comparative Literature and Culture · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsStalkingIntersubjectivitySympathyThe ImaginarySubject (documents)Bridge (graph theory)Relation (database)SociologyPsychoanalysisMedia studiesAestheticsArtPsychologyComputer scienceSocial psychologyWorld Wide WebCriminologySocial science

Abstract

fetched live from OpenAlex

This essay reads fictional and non-fictional accounts of digital stalking as signals of larger changes in intersubjectivity itself caused by Google. Most social media platforms trap users in imaginary relations, in which the other is encountered as a complete profile, but Google allows the searcher to locate an absence in the other in the form of a missing search result. As will be shown in an analysis of two contemporary novels whose first-person narrations center around Google-stalking, Caroline Kepnes’s You (2014) and Olivia Sudjic’s Sympathy (2017), Google’s mode of intersubjectivity amounts to an endless tunnel with no light at its end, whose exploration only feeds the profits of digital capitalism. Through a comparison of real-life stalking and digital stalking, historical shifts in the subject’s relation to the Other are captured.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.409
Threshold uncertainty score0.354

Codex and Gemma teacher scores by category

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

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 head0.056
GPT teacher head0.360
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