MétaCan
Menu
Back to cohort
Record W4365398161 · doi:10.23963/cnp.2022.7.2.3

Tracing the Lost Bodies: Testimony, Witnessing, and Trauma in Billydéki

2023· article· en· W4365398161 on OpenAlexaboutno aff
Kamelia Talebian Sedehi

Bibliographic record

VenueColloquium New Philologies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary, Security, and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWitnessNarrativeReading (process)HistoryOrder (exchange)Accident (philosophy)SociologyLiteratureLawPsychoanalysisAestheticsPsychologyArtPolitical scienceEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

The last residential school in Canada, for Aboriginal students, was shut down in 1996; however, its percussions has affected not only the survivors but their next generations. By reading literary works, the audience can be informed of what happened in the past. The literary work merges narrativization and history to the extent that literature is involved in the action of creating a new form of narrative testimony to rethink historical incidents. History is transformed by bearing literary witness to residential schools in Canada. Sonia Perron's Billydéki (2019), not only bears literary witness to residential schools in Canada but also indicates the transformational relationship between narrative and history. In reading Billydéki, there is the possibility of finding out what residential schools have done to Aboriginal communities. Its language transmits eye witness's direct experience through the various characters at the moment of abuse and, therefore, historicize these incidents. The narrative does not tell, this is what happened, but it shows us through the eyes of various characters who were present at the moment of trauma; either being engaged in it or having onlooker stand. The aim of this paper is applying Judith Herman’s concept of trauma and Shoshana Felman and Dori Laub’s concept of testimony and witnessing to Sonia Perron's Billydéki, in order to shed light on the historical incidents that happened at residential schools and left unspoken for some time.

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)0.002
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 score0.225
Threshold uncertainty score0.874

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.094
GPT teacher head0.358
Teacher spread0.264 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueColloquium New PhilologiesSame topicMilitary, Security, and Education StudiesFrench-language works237,207