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Record W1959035220 · doi:10.1163/18739865-00802008

From Palestine to the Canadian Diaspora

2015· article· en· W1959035220 on OpenAlexaffabout
Nawal Musleh-Motut

Bibliographic record

VenueMiddle East Journal of Culture and Communication · 2015
Typearticle
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPalestineDiasporaTRACE (psycholinguistics)Meaning (existential)West bankValue (mathematics)HistoryMiddle EastGenealogySociologyGeographyVisual artsGender studiesMedia studiesAncient historyArchaeologyArtPsychology

Abstract

fetched live from OpenAlex

In this paper I trace the various social biographies of selected family photographs that traveled from Palestine to Canada and depict my parents’ lives in pre-1948 Palestine, the West Bank and Jordan, and cover multiple generations from the 1930s to the present day. In this work I answer previously unattended questions; for instance, how and to what extend did the social and cultural meaning of these photographs change as they were removed from the photographic traditions of the Middle East where they were produced and relocated to Canada with my parents? What social and cultural value did these photographs hold for me and my siblings as members of the postmemory generation growing up in Canada and has this significance shifted now that we are adults? Finally, what importance might this photographic archive come to have for my siblings’ children? Utilizing the photographic album that houses the bulk of the family’s photographs produced in Palestine and Jordan as an instrument of social and oral performance, I analyze how the members of my family narrate the multiple and fluid memories, investments and realities that these photographs facilitate.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.293

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0240.006
Scholarly communication0.0050.001
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.093
GPT teacher head0.303
Teacher spread0.210 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2015
Admission routes2
Has abstractyes

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