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Record W4290565948 · doi:10.52289/hej9.205

Addressing the elephant in the room: Ethics as an organizing concept in history education

2022· article· en· W4290565948 on OpenAlexaff
Lindsay Gibson, Andrea Milligan, Carla L. Peck

Bibliographic record

VenueHistorical Encounters A journal of historical consciousness historical cultures and history education · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsUniversity of AlbertaUniversity of British Columbia
Fundersnot available
KeywordsAotearoaCurriculumSociologyHistorical thinkingEngineering ethicsPedagogyEnvironmental ethicsGender studies

Abstract

fetched live from OpenAlex

Ethics is the proverbial ‘elephant in the room’ in history education in settler-colonial nations. It is foundational to teaching and learning history and engaging with the ongoing effects of the past in the present. Yet its place in history curricula and teaching continues to be ignored, understated, confused, and challenged. This article illustrates how ethical judgment is central to four commonly identified rationales for teaching history in schools: citizenship education, historical consciousness, historical thinking, and difficult histories. The article urges more explicit attention to ethics as an organizing concept in history education to enable students to appreciate the complex lived realities that constitute history and to explore the diverse perspectives that have contributed to sometimes-difficult decisions. We argue that ethics can humanize history, enrich students’ historical understandings, and offer a usable past. However, given the varied approaches to ethical judgment across the four orientations to teaching history, we stress the need for the mindful deployment of ethical judgment in curriculum design. Using an example from the 2021 draft Aotearoa New Zealand’s Histories curriculum, we demonstrate what “ethical judgment” could be called upon to do, and the impoverished approach to history education that would exist without it.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.891
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.004
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 head0.165
GPT teacher head0.389
Teacher spread0.224 · 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
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

Citations11
Published2022
Admission routes1
Has abstractyes

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