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The Hauntings of Canada in Michael Crummey’s Sweetland

2018· article· en· W2900900521 on OpenAlexaboutno aff
Vanja Polić

Bibliographic record

VenueLondon Journal of Canadian Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSociologyHistory

Abstract

fetched live from OpenAlex

In Michael Crummey’s novel Sweetland (2014), which belongs to the genre of Canadian Gothic, ghosts function as warnings and reminders on a broader cultural and national level. The article analyzes different kinds of hauntings in the novel to show how they emphasize the notions of belonging to a local community and specific location, to alert to the disappearance of the traditional ways of life and the importance of cultural memory for the survival of a comprehensive and diversified Canadian identity. The hauntings include: ‘typical’ ghosts haunting individual characters; workings of capital and national consolidation, which are shown haunting the local community (serving as a synecdoche of the Newfoundland region); hauntings of disappeared local communities in the impersonal national construct of Canadian culture (cultural mosaic); hauntings which emphasize notions of belonging to and emplacement into Canada’s Atlantic region; the haunting of the unrecordable quality of lived experience in such a community; and the inevitability of the book to be a record of absence as well as warning of that absence. The article discusses and postulates hauntings as a strategy of resistance against historical amnesia, but also as testaments to belonging.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.336
Threshold uncertainty score0.546

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.276
Teacher spread0.260 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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