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Record W4390711796 · doi:10.1344/lectora2023.29.2

Of Strangers and Relations: Native American Hospitality in Toni Jensen and Susan Power

2023· article· en· W4390711796 on OpenAlexaboutno aff
Silvia Martínez Falquina

Bibliographic record

VenueLectora revista de dones i textualitat · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsnot available
Fundersnot available
KeywordsHospitalityIndigenousPower (physics)SovereigntyNative americanNarrativeValue (mathematics)SociologyTribeForegroundingConversationState (computer science)WildernessAestheticsTourismGender studiesHistoryAnthropologyLiteratureLawPolitical scienceArtPoliticsCommunication

Abstract

fetched live from OpenAlex

This article examines narrative articulations of Native American hospitality in the autobiographical essay “The Worry Lines” (2020), by Métis writer Toni Jensen, and the fictional chapter “Sacred Wilderness” (2014), by Standing Rock Sioux Tribe member Susan Power. In both texts, relevant connections to the Other are made outdoors by means of words, deriving in the lowering of walls—which both separate and connect—and calling for a reexamination of Indigenous peoples as strangers within the doors of the US settler colonial state. The result is a vindication of Indigenous sovereignty and literary activism through the epistemological and ethical value of relationality, as well as a contribution to hospitality studies more broadly through its vindication of the power of conversation and literature.

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)0.003
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 score0.040
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0260.023
Scholarly communication0.0080.006
Open science0.0010.008
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.322
Teacher spread0.303 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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