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Record W4200567112 · doi:10.17742/image.mm.12.2.11

‘Selfies’ Under Quarantine: Exploring Networked Emotions in the Time of ‘Social Distancing’

2021· article· en· W4200567112 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueImaginations Journal of Cross-Cultural Image Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicDecolonial Thought and Epistemologies
Canadian institutionsnot available
Fundersnot available
KeywordsQuarantineSocial distanceCoronavirus disease 2019 (COVID-19)Distancing2019-20 coronavirus outbreakSocial psychologyPsychologyInternet privacyBusinessComputer scienceVirologyMedicineBiologyEcology

Abstract

fetched live from OpenAlex

This essay focuses on auto-ethnography and auto-fiction as USEFUL tools to reflect on the ways in which networked identities are reshaped and reconfigured within the context of a global pandemic where social relationships, family life, work routines, and learning processes are increasingly migrating to the online domain. The piece builds upon the experience of an undergraduate class who collectively contributed to the blog series ‘Selfies Under Quarantine’ during the first severe lockdown in March 2020. It discusses the question of methods and suggests looking at the ‘draft’ as both an aesthetics and an ethics to navigate the current context of crisis.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.394
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0010.004
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 head0.097
GPT teacher head0.447
Teacher spread0.350 · 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