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Record W4402846112 · doi:10.34293/sijash.v11is5.7671

Recount Restriction and Identity in Margaret Atwood’s Surfacing

2024· article· en· W4402846112 on OpenAlexaboutno aff
S Selvamni, S Anbarasi

Bibliographic record

VenueShanlax International Journal of Arts Science and Humanities · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicUtopian, Dystopian, and Speculative Fiction
Canadian institutionsnot available
Fundersnot available
KeywordsIdentity (music)PsychoanalysisSociologyArtPsychologyAesthetics

Abstract

fetched live from OpenAlex

Margaret Atwood’s Surfacing crams the effects of the demarcation of identity revels in Canadian history where the question of Canadian national identity was sprouting, becoming a pointer that was more clearly defined and more intentionally sought out by Canadian artists and citizens. Atwood’s Surfacing can be considered in light of these historical developments, in sketching the establishment of recount restriction and not an avowal of the positive effects with such identifiers can bring. As a Canadian writer and a woman in particular, the narrator’s communal groupings stipulate her victimhood, a notion that explores in relation to Atwood’s major work of Canadian literary works. The narrator’s initial state of close proximity total psychological constriction is pinpointing the peril of social borders, and it is only in evading the identifiers that define her in peculiar of national, gender, and epistemological establish that she comes to a sort of completeness. This breaks out takes the form of a turn towards the chaotic world as a truly borderless space where it is doable to mendan inconsistent self.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.448
Threshold uncertainty score0.890

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0330.028
Scholarly communication0.0090.004
Open science0.0010.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.051
GPT teacher head0.305
Teacher spread0.254 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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