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Record W7052168494

Review of <i>Before the Country: Native Renaissance, Canadian Mythology.</i> By Stephanie McKenzie

2009· article· en· W7052168494 on OpenAlexaboutno aff

Bibliographic record

VenueInsecta mundi · 2009
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsMythologyIndigenousCentennialNationalismCanadian literature
DOInot available

Abstract

fetched live from OpenAlex

In Before the Country, Stephanie McKenzie examines Canadian literature of the 1960s and 1970s "to identify mythological patterns that are likely to become formulas when critics assume that Canada is like any other nation to have emerged since the breakdown of Charlemagne's empire." A time when Canadians were struggling to invent a collec~ tive identity, the years surrounding Canada's centennial were critical for the development of Canadian literature and culture.\nIn the 1960s and 1970s, Indigenous people, in contrast, were experiencing what McKenzie terms "the Native Renaissance," and their literary output caused a crisis for settlers: "a nationally inspired myth, which had set out as early as the nineteenth century to fulfil its own prophecy, buckled." McKenzie challenges the settler myths of "the new world" and "the empty land" by drawing our attention to the ancient mythological codes present in con~ temporary Indigenous literature in English. Settler myths, she contends, ignore the Indigenous peoples and "[loom] long and hard in Canadian literature," seeming "to resurface when fervent nationalism is in need of something."

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)0.005
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: Review · Consensus signal: Review
Teacher disagreement score0.109
Threshold uncertainty score0.267

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0080.019
Science and technology studies0.0060.008
Scholarly communication0.0060.004
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0140.002

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 head0.010
GPT teacher head0.238
Teacher spread0.228 · 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
GenreReview

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
Published2009
Admission routes1
Has abstractyes

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