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Record W7003511957

[no title]

2021· other· en· W7003511957 on OpenAlexaboutno aff

Bibliographic record

VenueDirectory of Open access Books (OAPEN Foundation) · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeSettlement (finance)DiasporaMobilitiesAppealDisplaced personSocial connectedness
DOInot available

Abstract

fetched live from OpenAlex

The image we have of refugees is one of displacement – from their homes, families and countries – and yet, refugee settlement is increasingly becoming an experience of living simultaneously in places both proximate and distant, as people navigate and transcend international borders in numerous and novel ways. At the same time, border regimes remain central in defining the possibilities and constraints of meaningful settlement. This book examines the implications of ‘belonging’ in numerous places as increased mobilities and digital access create new global connectedness in uneven and unexpected ways. Belonging and Transnational Refugee Settlement positions refugee settlement as an ongoing transnational experience and identifies the importance of multiple belongings through several case studies based on original research in Australia and New Zealand, as well as at sites in the US, Canada and the UK. Demonstrating the interplay between everyday and extraordinary experiences and broadening the dominant refugee discourses, this book critiques the notion that meaningful settlement necessarily occurs in ‘local’ places. The author focuses on the extraordinary events of trauma and disasters alongside the everyday lives of refugees undertaking settlement, to provide a conceptual framework that embraces and honours the complexities of working with the ‘trauma story’ and identifies approaches to see beyond it. This book will appeal to those with an interest in migration and diaspora studies, human geography and sociology.

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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Open science, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.317
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0120.008
Open science0.0230.015
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.3070.007

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 head0.145
GPT teacher head0.454
Teacher spread0.309 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueDirectory of Open access Books (OAPEN Foundation)French-language works237,207