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Record W7094526947

9781552388914.pdf

2022· other· en· W7094526947 on OpenAlexaboutno aff

Bibliographic record

VenueOAPEN (The OAPEN Foundation) · 2022
Typeother
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryIndigenousHistoriographyLiterary criticismIdentity (music)History of literatureAmerican literatureNational identity
DOInot available

Abstract

fetched live from OpenAlex

Alberta writing has a long tradition. Beginning with the pictographs of Writing-on-Stone, followed by Euro-Canadian exploration texts, the post-treaty writing of the agrarian colonization period, and into the present era, Alberta writing has come to be seen as a distinct literature. In this volume Melnyk and Coates continue the project of scholarly analysis of Alberta literature that they began with Wild Words: Essays on Alberta Literature (2009). They argue that the essays in their new book confirm that Alberta's literary identity is historically contingent with a diverse, changing content, that makes its definition a work-in-progress. The essays in this volume provide contemporary perspectives on major figures in poetry and fiction, such as Robert Kroetsch, Sheila Watson, Alice Major, and Fred Stenson. Other essays bring to light relatively unknown figures such as the Serbian Canadian writer David Albahari and the pioneer clergyman Nestor Dmytrow. Writing Alberta: Building on a Literary Identity offers a detailed discussion of contemporary Indigenous writers, an overview of Alberta historiography of the past century, and the fascinating autobiographical reflections of the novelist Katherine Govier on her literary career and its Alberta influences. This collection demonstrates that Alberta writers, especially in the contemporary period, are not afraid to uncover, re-think, and re-imagine parts of Alberta history, thereby exposing what had been lain to rest as an unfinished business needing serious re-consideration.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.940
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.9760.915

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 head0.017
GPT teacher head0.274
Teacher spread0.257 · 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; both teacher heads agree on what is shown here.

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
Published2022
Admission routes1
Has abstractyes

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