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Record W2089356728 · doi:10.1177/1368431008092568

Shame, Guilt and Reconciliation after War

2008· article· en· W2089356728 on OpenAlexaff
Catherine Lu

Bibliographic record

VenueEuropean Journal of Social Theory · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Geopolitics and Ethnography
Canadian institutionsMcGill University
Fundersnot available
KeywordsShameReactionaryPoliticsTransformative learningSociologyLawPsychoanalysisSocial psychologyAestheticsPsychologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

How do experiences of shame and guilt shape or reflect the ways in which the vanquished are reconciled (or not) to the new world order established by the victors? Shame and guilt are universal experiences in the emotional landscape of post-war politics, albeit for different reasons and with radically different political effects. An examination of Germany after 1918 and of Japan after 1945 reveals that experiences of shame and guilt may be pivotal for creating conditions of possibility for reconciliation marked by political and moral transformation. This transformative potential of shame and guilt, however, is a double-edged sword. In threatening old identities, values and beliefs, experiences of shame and guilt may provoke defensive, reactionary and violent political responses, and thus may precipitate hideous rather than salutary transformations. Political leadership and political culture are crucial factors in shaping the kind of reconciliation — reactionary or transformative — as well as the specific nature of transformations that experiences of shame and guilt may motivate the vanquished to pursue.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.017
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.263
Teacher spread0.240 · 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 designTheoretical or conceptual
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

Citations33
Published2008
Admission routes1
Has abstractyes

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