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Record W2809232298 · doi:10.1080/10412573.2018.1464813

Crafting Quebec’s Seventeenth-Century Past: A Birch Bark Letter by Twentieth-Century Hospitalières

2018· article· en· W2809232298 on OpenAlexaboutno aff
Robin MacDonald

Bibliographic record

VenueExemplaria · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsFeelingObject (grammar)HistoryOrder (exchange)Bark (sound)PsychologyPhilosophyGeographySocial psychology

Abstract

fetched live from OpenAlex

This article examines a letter written by the Quebec City Hospitalières to the Society of Jesus in 1925. Written on birch bark, the letter stands out from other notes of congratulation received by the city’s Jesuits on the tercentenary of their arrival at Quebec. Drawing on queer theory ― in particular, Sara Ahmed’s theory of “affective economies” ― this article analyses the ways in which this letter was crafted in order to shape feelings about ― and to colonize ― the seventeenth-century past. Feelings, Ahmed argues, are not “in” objects, but are created through “circulation.” As an object for which circulation is embedded in its purpose, the Hospitalières’ letter provides a useful case study for the examination of the ways in which encounters with objects could shape feeling in twentieth-century Quebec. While the Hospitalières claimed to be able to feel the seventeenth-century past ― and sought to evoke these feelings in the letter’s recipients ― they were, in fact, crafting a feeling for it.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.508

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0290.013
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.011
GPT teacher head0.211
Teacher spread0.200 · 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 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

Citations0
Published2018
Admission routes1
Has abstractyes

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