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Record W6904603473 · doi:10.14288/cl.vi250.192040

At the Crossroads of Sympathy and Prophecy

2019· article· en· W6904603473 on OpenAlexaboutno aff

Bibliographic record

VenueOpen Collections · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicTravel Writing and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsSympathyNarrativeScholarshipIndigenousColonialismGeorge (robot)

Abstract

fetched live from OpenAlex

While discussing their community’s relocation, Drummond Island Métis interviewees Lewis Solomon and Jean Baptiste Sylvestre describe how they witnessed British author Anna Jameson steal skulls from an Indigenous grave during her travels in 1837 (The Migration of Voyageurs from Drummond Island to Penetanguishene in 1828 1901). Their testimony provokes a reckoning for Jameson and her travel narrative Winter Studies and Summer Rambles in Canada (1838) due to her self-depiction as exceptionally sympathetic toward Indigenous peoples. Their evidence also unsettles earlier scholarship that valorizes Jameson’s sympathy and gestures toward the settler colonial stakes bound up in such readings. This paper re-evaluates Jameson’s travel narrative by demonstrating how her settler sympathy is intertwined with prophecies of “elimination” (Wolfe 2006, 388). It then shows how the narratives of Solomon, Sylvestre, and other members of the Drummond Island Métis community (ancestors of the present-day Georgian Bay Métis community) resist the constraints of such prophecy.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0180.040
Scholarly communication0.0070.004
Open science0.0010.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.218
Teacher spread0.205 · 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
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

Citations0
Published2019
Admission routes1
Has abstractyes

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