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Record W3150502146

Przestrzeń i jej funkcje w Rzece Złodziei Michaela Crummeya

2020· article· pl· W3150502146 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Repository of University in Bialystok (University in Bialystok) · 2020
Typearticle
Languagepl
FieldSocial Sciences
TopicCentral European Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics
DOInot available

Abstract

fetched live from OpenAlex

The fiction of Michael Crummey, one of the renowned contemporary Canadian writers, is deeply rooted in the landscape of his home-island, that is, Newfoundland. In his debut novel River Thieves published in 2001, the author shows the land as a non-anthropological determinant of human history and the only witness to keep a vivid, undistorted memory of the vanished tribe of Beothuks. This article invites the reading of Crummey’s works through the prism of geopoetics and cultural geography. It shows what functions the space/land plays in the discussed narrative and how it adds new meanings to an old story, that is the extinction of Red Indians. Endowed with agency, nature is as important an agent in history-making as the settlers and first inhabitants; moreover, at present day it acts a live repository of memory. The article also investigates the differences between the English and Polish editions of the novel, focusing on the maps that precede the narrative.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.510
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.005
Science and technology studies0.0020.003
Scholarly communication0.0000.001
Open science0.0030.001
Research integrity0.0010.001
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 head0.024
GPT teacher head0.205
Teacher spread0.181 · 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