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Record W4386163327 · doi:10.1080/17521483.2023.2239690

Changing presents, shifting past(s): the diverse interests of transitional justice and cultural heritage in the case of the Iranian revolution

2023· article· en· W4386163327 on OpenAlexaff
Mirosław Michał Sadowski, Seyed Mohammad Amin Zavarei

Bibliographic record

VenueLaw and Humanities · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeological Research and Protection
Canadian institutionsMcGill University
Fundersnot available
KeywordsTransitional justiceCultural heritagePoliticsDemocracyEconomic JusticeSociologyTransition (genetics)Environmental ethicsLawPolitical economyPolitical scienceLaw and economics

Abstract

fetched live from OpenAlex

Cultural heritage and transitional justice both seem to be established terms with fixed connotations: the former of universally valued and appreciated cultural objects and the latter of processes related to replacing a non-democratic regime with a democratic one. The social, political and legal realities of actual transitions and cultural objects caught in their midst, however, are much more complex. One such particular case was the Iranian Revolution of 1979 and its immediate aftermath, which, despite being a distinct transition from one non-Western regime to another, encountered similar issues with regard to the preservation of cultural heritage objects linked to the former establishment. The purpose of this paper is thus to provide a better understanding of the non-traditional processes of transitional justice, with a special focus on the place of cultural heritage objects during a transition using the example of Iran.

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)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0210.040
Scholarly communication0.0080.006
Open science0.0010.006
Research integrity0.0040.005
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 head0.066
GPT teacher head0.268
Teacher spread0.202 · 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

Citations4
Published2023
Admission routes1
Has abstractyes

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