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Record W3033910531 · doi:10.25071/1920-7336.40617

The Global Gaze of Protection, Care, and Power

2020· article· en· W3033910531 on OpenAlexvenueno aff
Ranabir Samaddar

Bibliographic record

VenueRefuge Canada s Journal on Refuge · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsnot available
FundersEuropean Commission
KeywordsRefugeeDeclarationGlobePolitical sciencePower (physics)PopulationEconomic growthSociologyLaw and economicsPolitical economyLawMedicineEconomics

Abstract

fetched live from OpenAlex

The Global Compacts on Refugees and Migrants have been widely considered as opportunities for the world to reconsider old approaches to refugee and migrant protection. The New York Declaration is global, not only because it emanates from a global institution, but also because of the following aspects, to be detailed in course of this article: First, a single declaration covering subjects of migration and forced migration is an acknowledgment of the reality that the two have deep relations, and that population flows are increasingly mixed and massive, defying neat categorization. Second, the declaration also highlights the limits and/or unwillingness of states to carry primary responsibility of refugees and migrants, and hence opens up the possibility to include the “whole of society,” which is to say the “whole of globe” covering stakeholders including business and commercial segments. Third, the new approach is global because refugees and migrants are conceptualized as subjects of global development. Fourth, migration and refugee “crises” are considered inevitable, hence the need for durable solutions, such as the need for a globally relevant comprehensive response framework. And finally, the article touches on the changing nature of the rights question under such a technological mode of management. These aspects are not discussed separately in order, but in an interrelated way. The article is a post-colonial critique of an emerging global apparatus of care and power.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.995
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.252
Teacher spread0.242 · 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 teacher head, 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

Citations2
Published2020
Admission routes1
Has abstractyes

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