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Record W2909471725

Ageing and materialities: A study of the practice of weaving at Cercle de Fermieres

2018· dissertation· en· W2909471725 on OpenAlexaboutno aff
Nora Tremblay Lamontagne

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldArts and Humanities
TopicCrafts, Textile, and Design
Canadian institutionsnot available
Fundersnot available
KeywordsWeavingAffordanceAssemblage (archaeology)NoticeSociologyActor–network theoryOrganization studiesGender studiesSocial sciencePsychologyEngineeringHistoryPolitical scienceSocial psychologyLaw
DOInot available

Abstract

fetched live from OpenAlex

This thesis examines the weaving practices of the Cercle de Fermieres, a century-old community of older women, in light of Actor-Network Theory (ANT) (Akrich, 1987; Latour, 2006) and feminist theories of technologies (Haraway, 2004; Wajcman, 2007). Who and what is included in this “Cercle?” How do the affordances of technologies and materials contribute to the creation of necessities and forms of interaction within the organization? What happens when both humans (weavers) and non-humans (looms, thread, buildings) actors “age together?” I examine how the dynamic assemblage pertaining to the practice of weaving influences the organizational structure of the Cercle and contributes to the creation of associations and entanglements. Five vignettes describe life at the weaving Cercle and the roles of actors and ageing in this organization. A relational understanding of age and ageing, essential components of this analysis, allows to notice their uneven effects across the assemblage. While ageing has a profound impact on what it means to be a weaver, a centenarian organization or an ageing technology, ANT provides few theoretical tools to comprehend these entangled issues. This is addressed in the discussion section of this thesis. The empirical data comes from interviews and participant observation of two Cercles de Fermieres : one in Montreal and one in Baie Saint-Paul. Interviews were conducted with five Fermieres, aged 80 years old or more.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.279
Teacher spread0.251 · 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 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
Published2018
Admission routes1
Has abstractyes

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