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Record W2464017210 · doi:10.1080/2201473x.2016.1199826

Feral children: settler colonialism, progress, and the figure of the child

2016· article· en· W2464017210 on OpenAlexaff
Toby Rollo

Bibliographic record

VenueSettler Colonial Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsColonialismOpposition (politics)EnlightenmentIndigenousPoliticsEmpireBinary oppositionHistoryAnalogyDoctrineSociologyEnvironmental ethicsPolitical scienceEpistemologyLawPhilosophyAncient historyArchaeology

Abstract

fetched live from OpenAlex

Settler colonialism is structured in part according to the principle of civilizational progress yet the roots of this doctrine are not well understood. Disparate ideas of progress and practices related to colonial dispossession and domination can be traced back to the Enlightenment, and as far back as ancient Greece, but there remain unexplored logics and continuities. I argue that civilizational progress and settler colonialism are structured according to the opposition between politics governed by reason or faith and the figure of the child as sinful or bestial. Thus, it is not contingent, but rather necessary that justificatory frameworks of European empire and colonialism depict Indigenous peoples as children. To illustrate how the theoretical link between Indigenous peoples and children emerges not as a simple analogy, but rather, as the source of the premodern/modern and savage/civilized binaries, I trace the various historical iterations of the political/childhood opposition through the classical, medieval, enlightenment, and modern eras. I show how the model of civilizational progress from a premodern and savage state of childhood continues to serve as the model for settler colonial exclusion and domination of Indigenous peoples.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.018
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.012
GPT teacher head0.295
Teacher spread0.283 · 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 designQualitative
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

Citations97
Published2016
Admission routes1
Has abstractyes

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