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Record W6887823859 · doi:10.17613/9c45y-v0n10

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2006· article· en· W6887823859 on OpenAlexaff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicModernist Literature and Criticism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIndividualismNationalismLocale (computer software)Spanish Civil WarAccidentalHarm

Abstract

fetched live from OpenAlex

Sinclair Ross's "As For Me and My House" as a (nefarious) safe-space whereby readers can subsume themselves within a locale that promises the sense of being taken care of, that they experienced within the maternal home but on one condition: ready willingness to defer; acquiesce to "mother's" leadership. Written just before a culture pivoted from the nationalist -- return to "home" -- 1930s and soon war and post-war escape from this previously desired narrative, the escape practiced from within this simulacra clinging-back-to-home may have been part of a whole culture intuiting it near time to grease other gears other than sloughing of individualism to obtain acceptance back home.

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)0.003
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.083
Threshold uncertainty score0.279

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0100.005
Scholarly communication0.0050.005
Open science0.0010.005
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0830.026

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 head0.028
GPT teacher head0.214
Teacher spread0.186 · 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
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
Published2006
Admission routes1
Has abstractyes

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