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Record W3023909262 · doi:10.1353/cch.2020.0006

On the Difficulty of Reckoning with Settler Colonialisms: Transnational and Comparative Perspectives

2020· article· en· W3023909262 on OpenAlexaboutno aff
Baligh Ben Taleb

Bibliographic record

VenueJournal of Colonialism and Colonial History · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryDead reckoningSociologyComputer scienceTelecommunicationsGlobal Positioning System

Abstract

fetched live from OpenAlex

Review essay on: Settler Colonialism and (Re)Conciliation: Frontier Violence, Affective Performances, and Imaginative Refoundings By Penelope Edmonds. Basingstoke; New York: Palgrave Macmillan, 2016. Unsettled Expectations: Uncertainty, Land, and Settler Decolonization By Eva Mackey. Halifax; Winnipeg: Fernwood Publishing, 2016. The Limits of Settler Colonial Reconciliation: Non-Indigenous People and the Responsibility to Engage Edited by Sarah Maddison, Tom Clark and Ravi de Costa. New York: Springer, 2016. In settler societies, coming to grips with historical wrongs continues to pose an enduring dilemma. Powerful scripts and events of redress, forgiveness and reconciliation are used to petition for and engage with narratives of the “post” settler nation state. The scope, substance, and politics of reckoning with settler colonial wrongs have garnered an intense controversy, and by turns, precipitated vibrant and creative scholarship. In Australia, Aotearoa New Zealand, Canada, and to a lesser extent, the United States, scholars have recognized the distinctive roles of reconciliatory efforts in settler societies, and attempted to untangle the repertoire of “moving on” and beyond the historical continuity of settler colonialism. They look at what it means to be “post” colonial and decolonized in nations that still lack a clear decolonizing moment. This essay engages with these competing perspectives as explored in the work of three recent volumes: Penelope Edmonds’ Settler Colonialism and (Re)conciliation, Eva Mackey’s Unsettled Expectations: Uncertainty, Land and Settler Decolonization, and Sarah Maddison et al., The Limits of Settler Colonial Reconciliation. Taking specific case studies across Australia, Aotearoa New Zealand, Canada, and the United States, these comprehensive and transnational comparative studies offer rigorous evaluation of the ideas and symbolic practices of reconciliation and their interlocking relationships with © 2020 Baligh Ben Taleb and The Johns Hopkins University Press settler colonial histories. Without treating the processes of “decolonization” and “reconciliation” as self-contained, isolated, or discrete units of meaningful change, these scholars address the ways in which the practices of these concepts attempt to reanimate and mobilize the past for a “post” settler condition and emancipatory moral order. The prefix “post,” as Jean Francois Lyotard has articulated, conjures the conviction “that it is both possible and necessary to break with tradition and institute absolutely new ways of living and thinking.”2 But in settler societies, the “post” may not mean a clearly defined moment or a “rupture” with the colonial past; instead, it may well repeat it and reinforce its diurnal residues. In different ways, these volumes interrogate these “new” realities and their chameleon-like abilities, by offering multifaceted approaches to deter what seems to be an alarming reproduction of coloniality and normative authority of the settler state. They use different and understudied analytical lenses and frameworks such as performance, ethnography of conflicts about land rights, and structural and attitudinal engagement to explore the complex and difficult conundrums and aporias of decolonization in settler societies.

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)0.007
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.018
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.017
Science and technology studies0.0060.034
Scholarly communication0.0170.021
Open science0.0020.007
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0050.001

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 head0.062
GPT teacher head0.289
Teacher spread0.227 · 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 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

Citations1
Published2020
Admission routes1
Has abstractyes

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