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Record W3153257544

Skeena Reece : Moss

2017· book· en· W3153257544 on OpenAlexaboutno aff
Dana Claxton

Bibliographic record

VenueE-Artexte (Artexte) · 2017
Typebook
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsTragedy (event)CLARITYColonialismIdentity (music)BeautyPoliticsPoetryAestheticsArtHistoryLiteraturePolitical scienceLawChemistryArchaeology
DOInot available

Abstract

fetched live from OpenAlex

" Her ability to combine humour, politics and spirit and bring forth the aestheticization of NDN histories and current realities, inter-generational trauma and cultural iconic imagery all folded, braided, twisted and laid bare. While at the same time implicating her own self into the art, the discourse, and the analysis of imperial/colonial/settler/Canadian/new comer colonialism and celebratory NDN survivance/thrivance. Identity is embellished in these works and the NDN experience in all its generational complexities are revealed—beauty and tragedy become clear and that clarity is Skeena’s way in the world. " -- p. [2] of the document

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)0.000
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.794
Threshold uncertainty score0.410

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.004
Scholarly communication0.0050.005
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0540.011

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 head0.258
Teacher spread0.241 · 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
Published2017
Admission routes1
Has abstractyes

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