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Record W3094450890 · doi:10.4000/caliban.3865

Watershed Literature: place, belonging, and longing for indigeneity in Paddle-to-the-Sea and "Minisniwapta: Voices of the River"

2018· article· en· W3094450890 on OpenAlexaffabout
Harry Vandervlist

Bibliographic record

VenueCaliban · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsWilfrid Laurier UniversityNatural Sciences and Engineering Research Council of Canada
Fundersnot available
KeywordsPaddleWatershedGeographyFisheryComputer scienceBiology

Abstract

fetched live from OpenAlex

Cet article propose la catégorie de la "littérature de bassin versant" pour décrire certaines œuvres qui puisent leur imagerie et leur principe d'unité dans les mouvements non-humains des eaux. L'article parle de deux œuvres certes fort différentes : "Minisniwapta: Voices of the River", un long poème du poète Jon Whyte, de Banff ; et un livre d'enfants très connu, Paddle-to-the-Sea, de Holling C. Holling (qui est également devenu un film de l'Office National du Film du Canada). Les deux œuvres partagent un certain désir d'indigénéité, qu'elles trouvent dans le mouvement intemporel et cyclique des eaux dans le bassin versant. Elles montrent aussi que, même si ce mouvement non-humain —une fois converti en récit— ne peut pas échapper à l'histoire coloniale, le bassin versant offre une source de structure et d'images qui peut servir aux écrivains d’ascendance européenne qui veulent parler du désir d'intégration avec un lieu.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.884
Threshold uncertainty score0.864

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.013
GPT teacher head0.273
Teacher spread0.261 · 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
Published2018
Admission routes2
Has abstractyes

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