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Record W2721091450 · doi:10.55016/ojs/ajer.v62i4.56024

Rethinking the History of Education: Transnational Perspectives on its Questions, Methods, and Knowledge (2013) by Thomas S. Popkewitz

2017· article· en· W2721091450 on OpenAlexvenueno aff
Karen Lenore Taylor

Bibliographic record

VenueAlberta Journal of Educational Research · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Education Studies Worldwide
Canadian institutionsnot available
Fundersnot available
KeywordsSociologyKnowledge levelEpistemologyPsychologyMathematics educationSocial sciencePedagogyPhilosophy

Abstract

fetched live from OpenAlex

In his acknowledgements, Thomas S. Popkewitz explains that this work grew out of conversations focused on the question of "'reason' as a historical problem" (p.ix).It is clear in reading this interesting collection of essays that, with varying degrees of explicitness, the authors are collectively challenging the legacy of Enlightenment thought on the historical method.However, the body of literature dealing with the problem of the Enlightenment that finds its origins in the work of scholars of the Frankfurt School of Critical Theory is a silent shadow that haunts this volume (to borrow the term used by Lynn Fendler in her excellent final chapter).I am thinking of Ludwig Fleck's Genesis and Development of a Scientific Fact (1935) as an example.Fleck offers a means to understand the way in which scientific knowledge is conditioned by society and culture.The works of scholars such as Peter Burke (2000), Helen Longino (2002), and Karl Mannheim (1985) in the sociology of knowledge remind us of the importance of exploring the relationship between an idea and its situation or context.They urge us to consider the relationship of knowledge to power because the way in which we see the world is a result of power relations that we may not be aware of on a conscious level.

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)0.006
metaresearch head score (Gemma)0.040
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.671
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.040
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.176
GPT teacher head0.516
Teacher spread0.340 · 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
GenreOther

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

Citations0
Published2017
Admission routes1
Has abstractyes

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