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Record W4402355077 · doi:10.33137/ic.v38i2.43914

The Odyssey of Internment Objects: Material Culture and Unarticulated Family Trauma

2024· article· en· W4402355077 on OpenAlexvenueno aff
Angela Clarke

Bibliographic record

VenueItalian Canadiana · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicGerman History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophyArt

Abstract

fetched live from OpenAlex

This article explores the significance of eight wooden internment objects created in the Kananaskis prisoner of war camp (c. 1940–1943) and their placement after the owner/creator returned from the camp. Through an analysis of the placement of these objects in a suitcase in a dark basement corner for over forty years, the researcher can ascertain the presence of unexpressed trauma. This article reveals an inherent ambivalence felt by the creator/owner with respect to the significance of these objects. On one hand, the owner – Federico Ghislieri – wanted to forget this period of internment, as indicated by his silence, yet, surprisingly, he could not dispose of the material vestiges of his camp experience. Instead, he negotiated this by preserving them yet hiding them from view. This article reflects on this contradiction through an analysis of the work of four psychological and material cultural theorists whose work provides a framework for comprehension: Jung, Bachelard, Veyne, and Greenblatt. Together, these thinkers suggest that the placement, and displacement, of household objects demarcate an object’s perceived value, both personally and in our culture. Finally, one can gain insight into how object placement can also be a political statement, reflecting long-held anxieties about an immigrant’s safety in the new country he calls home.

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)0.004
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 score0.068
Threshold uncertainty score0.135

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0170.037
Scholarly communication0.0060.004
Open science0.0010.007
Research integrity0.0010.002
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 head0.011
GPT teacher head0.189
Teacher spread0.178 · 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
Published2024
Admission routes1
Has abstractyes

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Same venueItalian CanadianaSame topicGerman History and SocietyFrench-language works237,207