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Record W2018000081 · doi:10.17507/tpls.0502.23

A Study on the Characterization of Hagar Shipley

2015· article· en· W2018000081 on OpenAlexaboutno aff
Hong Xiao, Yiwen Gao

Bibliographic record

VenueTheory and Practice in Language Studies · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsCharacterization (materials science)PsychologyMaterials scienceNanotechnology

Abstract

fetched live from OpenAlex

The Stone Angel, the first novel of the Manawaka Cycle, is generally regarded as Laurence’s representative work. This novel narrates the story of Hagar Shipley, who struggles to search for her self-identity and freedom all through her life. Hagar’s life reflects Canadian ideology and ideological trends during that specific period. Hagar’s pride leads to her rebellious life. She seems like the sightless stone angel in the Manawaka cemetery. She cannot realize her pride and prejudice. She cannot understand people around her. People cannot understand her either. Hagar doesn’t achieve her self-identity and spiritual freedom until the very end of her life. This thesis intends to analyze the characterization of Hagar and her inner journey towards self-identity and freedom, and further to evaluate Laurence’s contribution to Canadian Literature.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.465
Threshold uncertainty score0.501

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.077
GPT teacher head0.354
Teacher spread0.277 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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