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Record W4220764656 · doi:10.3138/gsi.2021.12.13.03

Genocide and the Defeat of Memory

2022· article· en· W4220764656 on OpenAlex
Paul R. Bartrop

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGenocide Studies International · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCambodian History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsGenocideIdeologyAmnesiaHumanityPoliticsSociologyPolitics of memoryLawPolitical scienceCriminologyPsychologyCognitive psychology

Abstract

fetched live from OpenAlex

Where genocide is concerned, the uses of memory and time are many. Time is encoded in memories, and the persistence of memory is one of the hallmarks of our humanity. Memory relative to the study of genocide is fraught with divisions. The term is often misunderstood, such that any example of human rights abuse can often become “genocide” in popular discourse. It can be abused and applied for political, ideological, or dogmatic ends. France in the aftermath of World War II provides a case in point, when both genocide perpetration and genocide victimhood took place simultaneously through the collaborationist French government at Vichy. This presents us with an illustration of the uses of memory in a situation of genocide. This essay considers those who shape memory, where any discussion relating to the use of memory needs to consider what happens when parochial actors seek to exploit historical memory (or historical amnesia) for reasons other than a quest for scholarly truth.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.626
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.326
Teacher spread0.297 · 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