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Record W7039678583

Narratives of Revival: Examining Exhibitions on Knitting and Crochet in Canada and the United States

2022· dissertation· en· W7039678583 on OpenAlexaboutno aff

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2022
Typedissertation
Languageen
FieldComputer Science
TopicGraph Labeling and Dimension Problems
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionCraftNarrativeOrder (exchange)The artsAllianceWitness
DOInot available

Abstract

fetched live from OpenAlex

This thesis looks at exhibitions on knitting and crochet of the last twenty years in Canada and the United States in order to reflect on the different ways in which revival can be understood or interpreted through them. The two countries’ tight-knit craft alliance throughout the 20th century is mobilized as a point of departure to examine how practices of knitting and crochet, largely absent from 20th century discourse on craft, started being displayed at the turn of the millennium. The case studies consist of four exhibitions staged by museums and galleries alike: Radical Lace & Subversive Knitting (2007) at the Museum of Arts and Design in New York, She Will Always Be Younger Than Us (2009) at the Textile Museum of Canada in Toronto, À toutes mailles! (2013) at the Centre MATERIA in Quebec City and Maison de la culture Marie-Uguay in Montreal, and SUPER STRING (2006) at the Stride Gallery in Calgary. Considering the recent historical development that are 21st century exhibitions on knitting and crochet, the thesis takes the idea of revival as a common denominator and carefully unpacks how they each engage with it, consciously or not. Furthermore, revival being a common topic in craft discourse, the thesis participates by introducing into it the theory of shaped time as elaborated by art historian George Kubler, specifically the ideas of prime objects and formal sequences, to outline each case study’s role in indexing (or perhaps reviving) knitting and crochet as artistic practices. In doing so, the thesis argues that the specificities of knitting and crochet, in their materiality and as practices embedded in rich and long-standing social histories, can be conducive to a broader understanding of cyclical patterns, thus inspire a new methodology toward the critical re-examination of persistent patterns in canonical art history.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.647
Threshold uncertainty score0.613

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.026
GPT teacher head0.257
Teacher spread0.231 · 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 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 routes1
Has abstractyes

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