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Record W4401364084 · doi:10.1177/00027642241268546

Colonialism, Racism, and Childhoods: Introduction

2024· article· en· W4401364084 on OpenAlexaff
Freeden Blume Oeur, Donna Varga

Bibliographic record

VenueAmerican Behavioral Scientist · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsColonialismRacializationChildhood studiesScholarshipGender studiesRacismGlobeSociologyPower (physics)Political scienceRace (biology)PsychologyLawDevelopmental psychology

Abstract

fetched live from OpenAlex

Over the past two decades, pressing questions around childhood, age, difference, and power have traversed the multidisciplinary study of childhood, and have come to overlap increasingly with writings on colonialism. While children remain relatively under-analyzed across this scholarship, children and notions of childhood are always implicated in colonialism and its vestiges. Moreover, legacies of colonialism shape the images of children who dominate headlines today, from cruel policies which separate migrant children from their families at the United States—Mexico border, to Israel’s continued assault on Gaza and the deliberate targeting of Palestinian children, to young climate activists who have mobilized around the globe. Our special issue explores questions around colonialism and childhood, and specifically their processes of racialization; and argues for a general practice of decolonizing the study of childhood. The authors—representing several disciplines and regions—have contributed essays which cover two broad themes. The first three articles speak to histories of colonialism and their entwinement with childhood, and the challenges actors face in attempting to reckon with those histories. The next three articles take up discussions concerning childhood as a colonialist racialized concept, and pose questions about who is deserving of care and whose care should be recognized as good for children. Our queries recognize the important work already being done by childhood studies scholars, invite newer researchers to the field to consider childist concerns, and welcome all to imagine futures beyond our present crises.

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)0.001
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 score0.629
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0010.000
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 head0.014
GPT teacher head0.325
Teacher spread0.311 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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