MétaCan
Menu
Back to cohort
Record W2789221775 · doi:10.25071/2369-7326.40273

Shattered Encounters: From My Father's House (1947) to My Father's House (2008)

2017· article· en· W2789221775 on OpenAlexvenueno aff
Liat Steir-Livny

Bibliographic record

VenuePivot A Journal of Interdisciplinary Studies and Thought · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsThe HolocaustDepictionDystopiaRepresentation (politics)State (computer science)HistorySociologyGender studiesArt historyArtLawLiteraturePoliticsPolitical science

Abstract

fetched live from OpenAlex

In the aftermath of World War II, approximately 500,000 Holocaust survivors immigrated to Israel. The complex experiences of this shattered group and their encounters with Israeli society were reduced to a series of superficial representations in Israeli feature films. In films produced both in pre-state Israel, and in the early decades of the fledgling state, Holocaust survivors were depicted as traumatized individuals saved by other Jews and transformed into active, strong, healthy civilians in the new land. By the late 1970s, however, Israeli society had changed, as did the cinematic representation of the encounter between native Israelis and the Holocaust survivors. A shift to a dystopian depiction took place, in which a traumatized group of people, neglected by veteran Israelis, were relegated to the margins of society. This article will analyze the profound change that took place between earlier and later representations. It will discuss the motivating factors and cinematic depictions through the lenses of two films which tell the same story, but from completely different perspectives: My Father's House (Herbert Klein, 1947) and My Father's House (Danny Rozenberg, 2008). While sharing the same title, these films were produced in different eras, and thus, shed light on different depictions of similar encounters.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.174
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.002
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 head0.054
GPT teacher head0.364
Teacher spread0.309 · 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.

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

Citations2
Published2017
Admission routes1
Has abstractyes

Explore more

Same venuePivot A Journal of Interdisciplinary Studies and ThoughtSame topicJewish and Middle Eastern StudiesFrench-language works237,207