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Record W3157605294 · doi:10.52289/hej8.210

Postcolonial history education: Issues, tensions and opportunities

2021· article· en· W3157605294 on OpenAlexaboutno aff
Peter Brett, Robert Guyver

Bibliographic record

VenueHistorical Encounters A journal of historical consciousness historical cultures and history education · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismSubalternSociologyPoliticsHistoriographyCurriculumNarrativeLiteracyGender studiesHistoryPolitical sciencePedagogyLaw

Abstract

fetched live from OpenAlex

This paper introduces a journal special issue devoted to an exploration of post-colonial history education with contributions from Ghana, Uganda, New Zealand, Canada, Botswana, Nigeria, Cyprus, Lebanon and London. It provides an overview of key issues, tensions and opportunities around decolonising the history curriculum. Relevant contexts such as the ‘History Wars’, subaltern studies, the conception of decolonising the mind and the possibilities of de-colonising pedagogies are explored. History education lenses around critical historical literacy, historical consciousness, multidimensional identities and multi-perspectivity are brought to bear upon the question of re-thinking forms of postcolonial history education. Specific political circumstances inform the nature of history education in every national jurisdiction; here the contemporary Black Lives Matter campaign, the fallout from the mismanagement of the fate of the ‘Windrush’ settlers in the UK and the recent focus of protestors globally upon colonial oppressors memorialised in statues frame the authors’ reflections. However, echoing the optimism of most of the special issue contributions, opportunities to build bridges between divided communities, open up more inclusive history curricula to student voices and nuance and complicate homogeneous national narratives are identified and recommended.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.762
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.095
GPT teacher head0.341
Teacher spread0.245 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations13
Published2021
Admission routes1
Has abstractyes

Explore more

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