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Record W3135462332 · doi:10.1177/2043820621995629

Stories we tell

2021· article· en· W3135462332 on OpenAlex
Leslie Kern

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

VenueDialogues in Human Geography · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Research Methods and Ethics
Canadian institutionsMount Allison University
Fundersnot available
KeywordsAmbivalenceVariety (cybernetics)FeelingAestheticsSociologyPsychologyPsychoanalysisSocial psychologyArt

Abstract

fetched live from OpenAlex

In this commentary, I respond to Ruez and Cockayne’s ‘Feeling Otherwise’ in a moment of intense ‘otherwise-ness’ as a global pandemic upends daily life in a variety of mundane and profound ways. Provoked by Ruez and Cockayne to take up the idea of the stories we tell, I reflect on ambivalence and writing into a world deeply undecided. Although it is not hard to detect accounts of this crisis at both the ‘paranoid’ and affirmative ends of an affective spectrum, there is also perhaps an unprecedented ambivalence seeping into our stories, one which holds potential for disrupting some of our taken-for-granted ideas about how the world works. As we attempt to use stories to make sense of this changing world and to write into being a world we want to live in, we must, as Ruez and Cockayne insist, remain attentive to difference and resist the pull of a universal, masterful story. I suggest getting comfortable—or staying uncomfortable—in the queasy, sweaty space of undecidability.

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)0.004
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.459
Threshold uncertainty score0.686

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.261
GPT teacher head0.512
Teacher spread0.252 · 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