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Record W4391600402 · doi:10.32920/25164401

Displaced from the Horn of Africa: A Case Study of the Vernacular Photographs from the Somali diasporic community in Toronto

2024· preprint· en· W4391600402 on OpenAlexaffabout
Shadio Hussein

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsToronto Metropolitan UniversityUniversity of Toronto
Fundersnot available
KeywordsSomaliSpanish Civil WarClanVernacularOral historyUnrestDictatorshipOpposition (politics)French hornHistoryGender studiesSociologyMedia studiesPolitical scienceLawArtArchaeology

Abstract

fetched live from OpenAlex

Most Somalis in Canada have migrated between the late 1980s and early 1990s as they were fleeing civil war. The Somali Civil War arose out of opposition to the military dictatorship led by Siad Barre during the 1980s, which led to civil unrest, clan-based warfare, and governmental collapse. This practical thesis explores the family photographs from two members of the Somali diasporic in Toronto. As such, this thesis produces a case study that examines the types of stories and memories prioritized when participants describe their own oral and photographic history, particularly since they have often experienced generational hardships and trauma due to resettlement. This project's practical component involves interviewing participants to record their oral histories and the digitalization and cataloguing of the family photographs shared with me.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.303
Threshold uncertainty score0.610

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0200.006
Scholarly communication0.0030.001
Open science0.0020.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.058
GPT teacher head0.328
Teacher spread0.271 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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