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Record W4239135455 · doi:10.17742/image.nbw.7-1.8

Recalibrating Intimacy

2016· article· en· W4239135455 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse multidisciplinary academic research
Canadian institutionsnot available
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Abstract | In her documentary photographs of Chinese restaurants in small-town Alberta, Elyse Bouvier recalibrates intimacy. Her photographs wrench the intimate out of the sphere of the domestic and the private and insert it into the realm of the communal and the public. They offer us a vision of the kind of intense relation that can exist between strangers—stranger intimacy. Moreover, the images assert a temporality that is necessary for this recalibration. Intimacy does not exist outside of time. These photographs insist upon, and demand, an understanding of intimacy that is not only strange, but also deeply structured by a complex temporality—a kind of uncanny double take or déjà vu. Bouvier’s photographs demand that the viewer pause and dwell in the déjà vu that they produce.Résumé | Dans son documentaire photographique sur les restaurants chinois des petites villes rurales albertaines, Elyse Bouvier réévalue l’intime. Ses images arrachent l’intime de la sphère domestique et privée et l’intègre à l’espace communautaire et publique. Ces images nous offrent une vision du genre de relation intense qui peut exister entre inconnus- intimité étrange. De plus, les images affirment une temporalité nécessaire à cette réévaluation. L’intime n’existe pas en-dehors du temps. Ces images demandent et insistent sur une certaine compréhension de l’intime qui est non seulement étrange mais aussi profondément construit par une temporalité complexe ; une sorte de temps d’arrêt troublant ou de déjà-vu. Les images de Bouvier exigent que le spectateur s’arrête et s’attarde sur le sentiment de déjà-vu produit.

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)0.006
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Open science, Insufficient 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 score0.204
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.007
Open science0.0050.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0390.000

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 head0.495
GPT teacher head0.659
Teacher spread0.164 · 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.

Study designObservational
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
Published2016
Admission routes1
Has abstractyes

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