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Liminality and Palimpsest in Anne Michaels’s<i>The Winter Vault</i>

2021· article· en· W4210585691 on OpenAlexaboutno aff
Catherine Caufield

Bibliographic record

VenueThe Polish Review · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicPoetry Analysis and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsVault (architecture)LiminalityPalimpsestHistoryStyle (visual arts)Plot (graphics)Art historyLiteratureArtVisual artsArchaeology

Abstract

fetched live from OpenAlex

Abstract Anne Michaels’s first novel, Fugitive Pieces, garnered numerous awards and produced much scholarly discussion. The Winter Vault followed thirteen years later, but has received little critical attention. This novel traverses the spaces of the construction of the Aswan High Dam, the St. Lawrence Seaway, and the reconstruction of the Old Town of Warsaw. Time bubbles up through these layered landscapes, evidencing markers and minutiae of masses of human lives, as modern-day engineering feats are in the process of obliterating them. The plot of The Winter Vault spirals through palimpsests of not only place, but also time as it bubbles up in the present—carried along great rivers in Canada, Egypt, and Poland: the St. Lawrence, the Nile, the Vistula. In The Winter Vault Michaels’s evocative prose writing style continues to create an oneiric tone through which well-defined characters are forced by events across a threshold into hidden recesses of their own being. For the central characters in The Winter Vault, the painful rawness of the confusing and discombobulated liminal space in which they find themselves the wake of loss resonates through place, evincing palimpsests of lives and experiences of others across time. It is, perhaps, the interwovenness of human life and the ability to connect with the suffering of others that is the catalyst for Avery and Jean to connect to the suffering within themselves.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.014
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0120.017
Scholarly communication0.0070.002
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.042
GPT teacher head0.272
Teacher spread0.230 · 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 source (direct Gemma or distilled Codex), 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
Published2021
Admission routes1
Has abstractyes

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