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Record W2798077323 · doi:10.4000/eac.1129

Making space and community through memory:

2017· article· en· W2798077323 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueÉtudes arméniennes contemporaines · 2017
Typearticle
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsnot available
Fundersnot available
KeywordsArmenianGenocideSpace (punctuation)Quarter (Canadian coin)RefugeePeriod (music)PalestineHistoryGenealogyPolitical scienceGeographyAncient historyLawArchaeologyArtAestheticsComputer science

Abstract

fetched live from OpenAlex

This article aims to discuss the making of space and community in the Armenian quarter of Jerusalem, by introducing a collection of photographs from the AGBU Nubar Library in Paris, which were gathered and archived in the 1920s and 1930s. Taking into consideration the multi-layered history of the refugees and orphans who inhabited this place in the post-WWI years and the older presence of Armenian communities and religious institutions in Palestine, it analyses the ways memories act on the making of an Armenian communal space in Jerusalem. A crucial issue raised in this article regards the utilisation historians can make of such a photographic archive from the perspective of constructing a social history of twentieth-century Armenian Jerusalem. More than other available sources, the visual archive brings into partial view the experiences and lives of those who were forgotten or ignored in the post-genocide period, showing how such memories contribute to the melting and merging of segmented pasts within the space of community.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
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 score0.668
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 studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.147
GPT teacher head0.373
Teacher spread0.226 · 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