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Record W2279193690 · doi:10.22028/d291-23643

Dimension lapsisee : revised subjectivity in Quebecois women’s narratives

2015· dissertation· en· W2279193690 on OpenAlexaboutno aff
Elisabeth A. Tutschek

Bibliographic record

VenuePublications of the UdS (Saarland University) · 2015
Typedissertation
Languageen
FieldSocial Sciences
TopicLatin American and Latino Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSubjectivityNarrativeDimension (graph theory)Gender studiesSociologyPsychologyPsychoanalysisArtEpistemologyPhilosophyMathematicsLiteraturePure mathematics

Abstract

fetched live from OpenAlex

“Dimension lapsisée: Revised subjectivity in Québécois women’s narratives” argues that the long-standing binary divisions of Montréal that are rooted in the double colonisation of its territory have created a discursive space that is reminiscent of what Gloria Anzaldúa terms ‘borderlands’ in her 1987 publication Borderlands – La Frontera. In particular, this study is a critical discussion of the construction and modification of subjectivity emerging from the Montréal borderlands. It is based on the reading of selected first-person narratives in English and French that have been published since the beginning of the Quiet Revolution. These close readings of narratives – and fiction/theories – by Nicole Brossard, Gail Scott, Nathanaël, Heather O’Neill, and Zoe Whittall are at the core of my dissertation. The investigation of the ways in which the literary productions of these writers are critical of cultural norms is characteristic of many encounters that take place in contemporary Montréal. Because of their hyper-awareness of the structures of anglophone and francophone colonialism, these writings intervene to disrupt cultural preconceptions of imperialism, patriarchy, and heteronormativity. More generally, they challenge cultural as well as linguistic homogeneity and nationalisms. By and large, I take a historical approach to investigate the following question in this project: How has the crossing of cultural, linguistic, and ideological borders been addressed in narratives by bilingual, anglophone, and francophone Québécois women writers in Montréal for the past three decades?\nThis dissertation explores Montréal writing, analysing the urban topographies it maps, the social encounters it stages as well as the representations of both, and its many trans-lingual experiences and experiments. In particular, my readings of French Kiss (1974), Le désert mauve (1987), Main Brides (1993), My Paris (1999), Paper City (2003), The Sorrow and the Fast of It (2007), Lullabies for Little Criminals (2006), and Bottle Rocket Hearts (2007) focus on the notion of ‘subjectivity.’ On that account, first-person narrating subjects are at the centre of my study. Relying on theories of performativity, I outline the process of alteration of the subject as well as the deconstruction of its product.\nThe texts I have assembled here from a corpus of fiction as well as theory are written by individuals that identify – or at least temporarily identified – with the category of ‘woman.’ They live in Montréal or spent considerable time there (here) or shared (share) ideological principles, writing practices, and theories of subjectivity and translation.29 My choice of novels, long poems, and essays written in English, French, and translated from French into English and vice versa reaches from the 1970s to the beginning of the new millennium and reflects the changing character of the ‘subject’ and its location between cultures, languages, and genders. I use the concept of ‘dimension lapsisée’ to grapple with the multiple matrices of the writings and translations at hand. This concept is informed by fiction and theory taken from Montréal’s borderlands and is used as an interpretative device: As much as it describes the zones of cultural and linguistic encounters in the historically bisected city of Montréal, the ‘lapsised dimension,’ I claim, at the same time illustrates the oscillating state of an in- between generated by these encounters and that blurs the boundaries of nations, linguistic codes, genders and genres.

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)0.001
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 score0.544
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.016
GPT teacher head0.273
Teacher spread0.256 · 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
Published2015
Admission routes1
Has abstractyes

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