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Record W4311521011 · doi:10.18432/ari29670

Small Sounds in Familiar Places

2022· article· en· W4311521011 on OpenAlexaffvenue
Lauren Michelle Levesque

Bibliographic record

VenueArt/Research International A Transdisciplinary Journal · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPosthumanist Ethics and Activism
Canadian institutionsSaint Paul University
Fundersnot available
KeywordsScholarshipIntentionalityMeaning (existential)Active listeningPoetrySociologyAestheticsPrincipal (computer security)Space (punctuation)PhotographyGenerative grammarPsychologyVisual artsEpistemologyArtLiteratureLinguisticsCommunicationPolitical sciencePhilosophyComputer scienceLaw

Abstract

fetched live from OpenAlex

In this article, the movement between the gravity and synchrony of love in pandemic times as revealed through the creative practices of poetry and cellphone photography is addressed. Informed by literature on slow scholarship published prior to and during the COVID-19 pandemic, the author explores the ways in which listening to and caring for the small sounds of a familiar place–here a rural backyard–can act as a generative theoretical space to reconsider the meaning of love and its implications for academic work. The principal questions include: how can the practice of writing poems and taking photographs foster the intentionality of slow time? How can immersing oneself in this time provide insight into perhaps worn-out conceptualizations of what is considered precious? What implications, if any, can these insights have for understandings of love and the need for slow scholarship post-pandemic?

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)0.009
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.525
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.191
GPT teacher head0.441
Teacher spread0.250 · 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 designTheoretical or conceptual
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
Published2022
Admission routes2
Has abstractyes

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