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Record W4390274609 · doi:10.3390/encyclopedia4010004

Ghosting: Abandonment in the Digital Era

2023· article· en· W4390274609 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

VenueEncyclopedia · 2023
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGhostingAbandonment (legal)PsychologyPopularitySocial psychologyComputer sciencePolitical science

Abstract

fetched live from OpenAlex

This entry synthesizes the multidisciplinary literature on ghosting published through late 2023 across psychological and social science journals. Search terms include “ghosting” and “online dating”. Both quantitative and qualitative studies are included. The rise in ghosting can be attributed to advancements in technology and the increased popularity of dating apps. It is defined as an abrupt one-sided ending, without explanation, of an established friendship/romantic or other communication connection. The prevalence of ghosting has increased, as reported by both ghosters (i.e., persons who stopped responding) and ghostees (i.e., persons who were “dumped”). Individuals characterized by dark triad traits (i.e., psychopathy, Machiavellianism, and narcissism) are more likely than others to be ghosters. These individuals have a history of using ghosting as their preferred method of ending relationships without concern for its negative impact on ghostees or, indeed, on themselves. The psychological effects of ghosting can influence mental health, although most individuals ultimately find ways of coping.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
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)0.0000.002

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 head0.022
GPT teacher head0.363
Teacher spread0.341 · 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