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Record W7113293217

Cultural (Trans)formation and the Sense of Loss in Ann Michaels’s The Winter Vault

2023· article· en· W7113293217 on OpenAlexaboutno aff

Bibliographic record

VenueCINECA IRIS Institutial research information system (Parthenope University of Naples) · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsInscribed figureMulticulturalismContext (archaeology)Vault (architecture)SolidarityNarrativeAlienDisplacement (psychology)
DOInot available

Abstract

fetched live from OpenAlex

Anne Michaels’ novel The Winter Vault (2009) deals with loss and displacement on several levels. From a narrative perspective, the dismantling and re-edification of the Temple of Abu Simbel highlights the depletion of the Nubian people, just like the building of the St. Lawrence Seaway implies the destruction of several towns and the painful relocation of its inhabitants. At the same time, the graft of foreign botanical species in Toronto articulates the feeling of loss on a personal level. Such examples are representative of the way in which national cultures and identities are redefined in the multicultural scenario of modern Canada. Similarly, the characters of Lucjan and the other Polish refugees present the problematic case of an ethnic community inscribed in the cultural mosaic: its members share strong bonds of solidarity with each another and with their motherland, but they remain alien to society. It is the purpose of this paper to investigate such relationships and relocations, as well as the ways in which discourses of transformation and replicas are inscribed in the context of Canadian multiculturalism. Indeed, each metamorphosis necessarily involves sacrifice, thus showing a different aspect of multiculturalism in which each transformation is necessarily accompanied by loss.

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)0.002
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: Empirical
Teacher disagreement score0.768
Threshold uncertainty score0.703

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.002
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 head0.050
GPT teacher head0.267
Teacher spread0.217 · 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 designNot applicable
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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueCINECA IRIS Institutial research information system (Parthenope University of Naples)Same topicShort Stories in Global LiteratureFrench-language works237,207