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Record W2236223606

Closure or Connection? Healing from Trauma in Richard Van Camp’s The Lesser Blessed

2013· article· en· W2236223606 on OpenAlexvenueaboutno aff
Lauren Vedal

Bibliographic record

VenueStudies in Canadian Literature · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeNegotiationIndigenousClosure (psychology)PsychoanalysisPerspective (graphical)HistorySociologyHistorical traumaPsychologyGender studiesCriminologyLawPolitical scienceLiteratureArtPsychotherapist
DOInot available

Abstract

fetched live from OpenAlex

Richard Van Camp's 1996 novel  The Lesser Blessed  contributes to a literature that testifies to the effects of Canadian residential schools on First Nations people. The narrator, Larry Sole, is the son of two residential school survivors. Sexually abused by his father, Larry relives his (and his parents') traumatic past in classically psychoanalytic terms: through a fragmented narrative, the return of the repressed, and acting out. From the perspective of individual recovery, Van Camp details Larry's psychological process of becoming whole. However, there is a broader, systemic rupture that remains unresolved — that of Canada's historical violence toward as well as continuing unjust treatment of First Nations peoples. The novel portrays a tension between individual recovery and national healing that can be understood in terms of dominant and Indigenous views of reconciliation. Reading The Lesser Blessed  through the lens of reconciliation reveals a dynamic and double-edged vision of healing, through which we can understand Canada-First Nations relations as ongoing, ambiguous negotiations. The double-edged story relies on an enduring relationship between past injury and the present as well as a relationship between parties whose identities and attitudes are inherently tied to that past.

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: Other · Consensus signal: Other
Teacher disagreement score0.249
Threshold uncertainty score0.502

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0300.043
Scholarly communication0.0090.004
Open science0.0020.005
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0050.001

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 head0.035
GPT teacher head0.279
Teacher spread0.243 · 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
GenreOther

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 routes2
Has abstractyes

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