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Record W2921998168

From vagrant scenographies to urban speculative gestures: a feminist turn

2019· article· en· W2921998168 on OpenAlex
Shauna Janssen, Kristine Samson

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

VenueRUCforsk (Roskilde University) · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Gender and Feminism Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsGestureTurn (biochemistry)Turn-takingSociologyCommunicationComputer scienceBiologyArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

What kinds of scenographies emerge when we work through a feminist lens, vis à vis embodied perspectives, with the situated nature of city spaces? In this paper we explore instances and becomings of urban scenography as both embodied and speculative gestures in the city. <br/>Inspired by recent writings on contemporary performance design and scenographic practices that ask us to consider how the field has expanded (McKinney and Palmer, 2017) or is moving “beyond scenography” (Hann, 2019), in this performance lecture we situate scenography within notions of the vagrant (Arnold, 2013), speculative gestures and “ecologies of practices” (Stengers), sympoiesis (Haraway), and embodiment (Grosz) to rethink urban processes and the potential role that scenographic knowledge/sensibilities/practices can be methodologically utilized for urban research. Importantly, we are interested in drawing from critical feminist frameworks to explore the potentials of scenographic practices and reflect on the wider politics of spatial agency in the urban realm, and what it means to (un)make and transform space from these perspectives.<br/>

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.777
Threshold uncertainty score0.817

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.011
GPT teacher head0.233
Teacher spread0.222 · 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