MétaCan
Menu
Back to cohort
Record W1514984642

"One thing can look like another": The Aesthetics and Performance of Trauma in Ann-Marie MacDonald's Fall on Your Knees

2013· article· en· W1514984642 on OpenAlexaffvenueabout
Michelle Coupal

Bibliographic record

VenueStudies in Canadian Literature · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature, Magical Realism, García Márquez
Canadian institutionsLaurentian University
Fundersnot available
KeywordsMAGIC (telescope)Performative utteranceNarrativeTraumatic memoriesRepresentation (politics)Magic realismRealismLiteratureAestheticsArtPsychoanalysisPsychologyCognitive psychologyLawPolitics
DOInot available

Abstract

fetched live from OpenAlex

Ann-Marie MacDonald’s Fall on Your Knees explores Canada’s gothic colonial past as it intersects with the postcolonial present, and it demonstrates that fiction can contribute to how trauma is theorized. Although the novel engages with gothic conventions and tropes, trauma finds its expression through magic realism. Through visual media, music, and performance, the novel offers a series of traumatic memories as always and only representations of the original encounter; as the experience of trauma confronts the limits of both representation and understanding, magic realist techniques represent the trauma as both real and imaginatively constituted. In line with Cathy Caruth’s view of the “bewildering encounter with trauma” as prompting recognition of “the possibility of a history that is no longer straightforwardly referential,” Fall on Your Knees suggests that the performative and aesthetic aspects of traumatic memory open up questions about the reliability of narrative representation.

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)0.004
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: none
Teacher disagreement score0.226
Threshold uncertainty score0.455

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0380.039
Scholarly communication0.0090.002
Open science0.0020.005
Research integrity0.0020.004
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 head0.032
GPT teacher head0.241
Teacher spread0.210 · 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
Published2013
Admission routes3
Has abstractyes

Explore more

Same venueStudies in Canadian LiteratureSame topicLiterature, Magical Realism, García MárquezFrench-language works237,207