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Record W1952317976 · doi:10.37119/ojs2015.v21i1.203

An Interdisciplinary Curriculum Conversation on Fear and Learning

2015· article· en· W1952317976 on OpenAlexaffvenue
Theodore Michael Christou, Judy Wearing

Bibliographic record

Venuein education · 2015
Typearticle
Languageen
FieldNeuroscience
TopicCognitive Science and Education Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsConversationCurriculumPacePsychologyExperiential learningNatural (archaeology)Subject (documents)Transformational leadershipSociologyPedagogyCognitive scienceEpistemologySocial psychologyComputer scienceCommunicationPhilosophyHistory

Abstract

fetched live from OpenAlex

Two curriculum scholars of contrasting epistemological backgrounds engage in a complicated curriculum conversation on the subject of fear and learning. One author’s position is that learning is not only fraught with fear but also requires fear to be transformational. Furthermore, education is intimately connected to fear and unrest. The other author’s position is that learning is biologically adaptive, generally of benefit to individuals and pleasurable under natural conditions. Societal learning among humans occurs relatively quickly, though never quick enough to keep pace with changes in the environment. The dialogue results in newfound recognition of the nature and power, of our perspectives on the one hand and the nature of curriculum conversation itself on the other hand. Keywords: curriculum; philosophy of education; evolutionary biology; fear; learning

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score0.179

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.067
GPT teacher head0.435
Teacher spread0.368 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2015
Admission routes2
Has abstractyes

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