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Record W2416114050 · doi:10.25071/1920-7336.40379

Displacements of Memory

2016· article· en· W2416114050 on OpenAlexvenueno aff
Philip Marfleet

Bibliographic record

VenueRefuge Canada s Journal on Refuge · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeForced migrationMainstreamGender studiesPolitical scienceIdeologyState (computer science)SociologyHistoryCriminologyLawPolitics

Abstract

fetched live from OpenAlex

The experiences of refugees—their “voices” and memories—have routinely been excluded from the historical record. With rare exceptions, refugees are absent from mainstream history: although specific episodes of forced migration may be carefully recorded and even celebrated in national histories, most refugee movements are ignored and their participants silenced. This article examines the practice of exclusion and its implications for historical research and for the study of forced migration. It considers experiences of refugees from the early modern era until the twenty-first century, mobilizing examples from Europe, the Americas, and South Asia, and offering comparative observations. It examines relationships between forced migrants and institutions of the nation-state, and the meanings of exclusion within ideologies of national belonging. It considers remedial measures and their implications for current efforts to ensure refugee voices are heard and understood.

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)0.002
metaresearch head score (Gemma)0.007
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: Empirical · Consensus signal: none
Teacher disagreement score0.993
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.018
Scholarly communication0.0070.009
Open science0.0010.011
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0220.002

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 head0.015
GPT teacher head0.194
Teacher spread0.179 · 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
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

Citations3
Published2016
Admission routes1
Has abstractyes

Explore more

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