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Introduction

2018· book-chapter· en· W4233914318 on OpenAlexaboutno aff
Marcelo M. Suàrez‐Orozco

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeDisplaced personForced migrationPolitical scienceMass migrationInternally displaced personDevelopment economicsQuarter (Canadian coin)GeographyHistoryPolitical economyEconomic historyCriminologySociologyLawImmigrationEconomics

Abstract

fetched live from OpenAlex

War and terror, demographic imbalances, unchecked climate change, and rampant criminality are the drivers of catastrophic migrations. In the first quarter of the twenty-first century, we witnessed the largest number of forcefully displaced human beings in record. Concurrently the world is now facing the largest “crisis of confinement” in history, leaving millions of human beings in search of shelter far away from the high and middle-income countries, lingering in interminable limbo. In the aftermath of World War II, Europe, the United States, and their allies developed policies for forcefully displaced refugees based on the assumption that whatever caused them to flee their homes would be resolved and refugees would return home. These architectures, we argue, are misaligned with the new conditions. Devastated environments in states with weak institutional capacities hold little promise for safe return. A new twenty-first-century cartography of mass migration suggests forms of migration that do not fit existing policy frameworks. First, most forcefully displaced migrants today stay as internally displaced either in their own countries or in camps in neighboring states often in subhuman conditions with few protections. Second, protracted conflicts are sending millions fleeing with no expectation of returning. Third the architectures in place are generally blind to the developmental needs of children. Crying children are the face of the catastrophic migrations of the twenty-first century. Worldwide, one in every two hundred children is a refugee, almost twice the number of a decade ago. In 2017, there were over twenty-eight million children forcefully displaced. For the first time in history, over half of all refugees under the United Nations High Commissioner for Refugees mandate are minors. Even when temporary protection is possible or desirable, children in flight need more than a safe haven. They need a place to grow up. They need the safety of home. In this Introduction we review the best evidence and current thinking on physical health, mental health, and trauma; legal protections; and education for forcefully displaced children and youth.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient 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 score0.482
Threshold uncertainty score0.687

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0030.002
Scholarly communication0.0080.005
Open science0.0020.005
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.5180.340

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 head0.030
GPT teacher head0.315
Teacher spread0.285 · 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; the direct Gemma label and the distilled Codex classifier 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
Published2018
Admission routes1
Has abstractyes

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