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Record W7016078315

What do we mean when we talk about care?

2023· other· en· W7016078315 on OpenAlexaboutno aff

Bibliographic record

VenueGoldsmiths (University of London) · 2023
Typeother
Languageen
FieldSocial Sciences
TopicPosthumanist Ethics and Activism
Canadian institutionsnot available
Fundersnot available
KeywordsReading (process)Session (web analytics)PoliticsFeminismDuration (music)Ethnography
DOInot available

Abstract

fetched live from OpenAlex

As part of the ‘Women in Revolt’ conference at Tate Britain, this out loud reading group responded to current debates on the need for art institutions to be more ‘accessible’ and ‘inclusive,’ touching on intersectional feminist explorations of care and access, collectivity and healing. Readings opened up questions about the different associations and political urgencies of terms including ‘care,’ ‘hospitality,’ ‘access’ and ‘access intimacy.’ Highlighting how art institutions have both co-opted and wilfully misconstrued practices of care, the session points to how we might care for one another better, while also pushing cultural institutions to take better care of us. The session was contextualised and introduced by Helena Reckitt and Beth Bramich of the Feminist Duration Reading Group. Discussions during the session highlighted the problematics of an event branded as care-oriented that met in a room without ventilation or PPE. Readings Together we read selections from: • Leah Lakshmi Piepzna-Samarasinha, from ‘Care Webs: Experiments in Creating Collective Access,’ in Care Work: Dreaming Disability Justice, Vancouver: Arsenal Pulp Press, 2018, pp41-47 introduced by guest artist Leah Clements • Johanna Hedva, Sick Woman Theory, 2020 (based on original essay in Mask Magazine, 2016) • Johanna Hedva, Why It’s Taking So Long, Topical Cream, 2022 introduced by Katrin Lock of the Feminist Duration Reading Group

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.323
Threshold uncertainty score1.000

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.021
GPT teacher head0.255
Teacher spread0.233 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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