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Record W4404715931 · doi:10.1177/20563051241301200

Becoming Spectral: Toward a Media History of Ghosting

2024· article· en· W4404715931 on OpenAlexaff
Torbjörn Rolandsson, Sadie Couture

Bibliographic record

VenueSocial Media + Society · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsMcGill University
Fundersnot available
KeywordsVampireGhostingDisconnectionAmbivalenceSocial mediaSociologyImmediacyMedia studiesAestheticsPublic relationsSocial psychologyPsychologyPolitical scienceComputer scienceEpistemologyLawLiteratureArt

Abstract

fetched live from OpenAlex

This article contextualizes contemporary forms of digital ghosting by examining how two of its historical precursors—Victorian calling culture and answering machines—have been represented in North American women’s magazines. To do so, we develop mediated avoidance as an analytical heuristic. This concept captures the material, relational and social dimensions of a set of understudied media practices that seek to strategically engage with the gaps that are inherent in all communication, to defer, deflect, or disrupt mediated connections. Representations of mediated avoidance from respective eras were found to reflect different anxieties over the management of the public/private divide. Calling culture relied on unpaid labor to facilitate the transmission of printed messages between bourgeoise women and was constrained by an array of social protocols that regulated interactions along conceptions of propriety. The disconnective features of answering machines, meanwhile, were represented as giving women the upper hand in courtship, as well as providing means for increased productivity and self-care, foreshadowing contemporary justifications of digital disconnection. Concerns over contemporary ghosting are discussed as produced by a spillage of media practices. Ghosting is considered acceptable in feminine-coded spheres like courtship. But it is viewed as inappropriate—sometimes even as signaling a broader social crisis—when it bleeds into other contexts, like when an employee ghosts their employer.

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.

How this classification was reachedexpand

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)0.002
metaresearch head score (Gemma)0.001
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 score0.292
Threshold uncertainty score0.872

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.098
GPT teacher head0.324
Teacher spread0.226 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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