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Record W4388125626 · doi:10.1080/17405904.2023.2273324

Settler colonialism and therapeutic discourses on the past: a response to Burnett et al.’s ‘a politics of reminding’

2023· article· en· W4388125626 on OpenAlexaboutno aff
Rafaël Verbuyst

Bibliographic record

VenueCritical Discourse Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
FundersFonds Wetenschappelijk Onderzoek
KeywordsColonialismIndigenousPoliticsEmic and eticIdentity (music)CriticismSociologyAgency (philosophy)Gender studiesEconomic JusticeIdentity politicsAnthropologyAestheticsSocial sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

In ‘A politics of reminding: Khoisan resurgence and environmental justice in South Africa’s Sarah Baartman district’, Burnett et al. scrutinize the memory activism of the Gamtkwa Khoisan Council, which is part of the wider ‘Khoisan resurgence’ sweeping across post-apartheid South Africa. Although the authors missed important nuances, they also pointed out flaws in the way I used Niezen’s ‘therapeutic history’ [Niezen, R. (2009). The rediscovered self: Indigenous identity and cultural justice. McGill-Queen’s Press] in my work to account for why Khoisan activists turn to the past. I therefore not only respond to their criticism, but also revise aspects of my theoretical framework. Therapeutic history is not divorced from material concerns. Nor is it representative of all engagements with the past by indigenous people or simply the opposite of academic history. Instead, by drawing on my ethnographic fieldwork and theorizing alongside the Khoisan, I show how it captures emic discourses on the past that entangle notions of indigenous identity, healing, and history in order to resist settler colonialism and its oppressive etic histories. While the concept of therapeutic history has its limitations, it effectively highlights indigenous people’s agency in the face of settler colonialism in South Africa and elsewhere.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.614
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.002
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 head0.068
GPT teacher head0.455
Teacher spread0.387 · 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.

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

Citations7
Published2023
Admission routes1
Has abstractyes

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