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Record W4402641054 · doi:10.14324/lre.22.1.30

Missing methods: a call for holistic analysis of history textbooks

2024· article· en· W4402641054 on OpenAlex
Kristina R. Llewellyn, Penney Clark, Sarah Clifford, Rafael V. Capó García

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueLondon Review of Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsUniversity of AlbertaUniversity of British ColumbiaMcMaster University
Fundersnot available
KeywordsPsychologyLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

The purpose of this article is to call for a holistic approach to the study of history textbooks. We engaged in an extensive analysis of textbook studies for the purpose of developing our own textbook study framework for the Thinking Historically for Canada’s Future project. We found that scholars rely on a narrow scope of research methods and that the field lacks attention to a holistic approach that broadens the researcher’s capacity to dissect positionality and perpetuation of historical knowledge(s). We demonstrate why it is beneficial for scholars to expand beyond narrow methods in the field of history textbook studies. Specifically, we illustrate that a holistic approach enables textbook researchers to further contest the often uncritical embrace of history textbooks and expand upon our understanding of the textbook as an artefact of our societies. In this article we significantly extend the yet to be taken-up call for a holistic approach to textbook studies.

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.904
Threshold uncertainty score0.375

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.232
GPT teacher head0.526
Teacher spread0.295 · 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