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Record W3010549491 · doi:10.20919/exs.5.2014.192

A More Proximate Form of Theory: Tracing New Interdisciplinary Ground through Discourses of Diaspora and Haptic Aesthetics

2020· article· en· W3010549491 on OpenAlexaff
Nicole Birch‐Bayley

Bibliographic record

VenueExcursions Journal · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsDiasporaAestheticsSociologyField (mathematics)Identity (music)Haptic technologyHabitusEpistemologyAnthropologyGender studiesArtComputer sciencePhilosophy

Abstract

fetched live from OpenAlex


 Cultural geographers Nigel Thrift and Stephen Pile have asked, “how is it possible to make sense of our selves, if the boundaries that tell us who ‘we’ are are incoherent, or fragmented, or fuzzy[?]” (1995: 179). One promising answer to this question has been to deconstruct the otherwise stable sense of identity that has marked the body in discourses of culture and transnational geography. The emerging interdisciplinary field of haptics (referring to the study of the sense of touch) offers a new way of investigating the boundaries that mark the body in the contexts of culture and literature, specifically exploring who is touched, who touches, when touch begins, and when it ends, in order to creatively examine boundaries of culture, which although fragmented, shifting, topographically uneven, offer unique and productive ways of re-conceptualizing transnational identity. Tracing the expanding the field of haptics to the discourses of diaspora and cultural studies, this paper will discuss haptic aesthetics in the shifting terrain of cultural studies and diasporic theory, for what this emerging field suggests about the incoherent nature of cultural boundaries and alternative possibilities for transnational community formation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.498
Threshold uncertainty score0.195

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)0.0000.000

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 head0.032
GPT teacher head0.278
Teacher spread0.246 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2020
Admission routes1
Has abstractyes

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