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Record W1652479501 · doi:10.22329/jtl.v1i2.134

Reshaping Teacher Education in a Knowledge Society: Chaos and Collingwood

2006· article· en· W1652479501 on OpenAlexaffvenue
Lynn Lemisko, Bryant Griffith, Marc Cutright

Bibliographic record

VenueJournal of Teaching and Learning · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsPositivismSociologyPoliticsCurriculumChaos theoryEpistemologyHigher educationPedagogyConvergence (economics)Social sciencePolitical scienceManagementEconomic growthLawChaoticEconomics

Abstract

fetched live from OpenAlex

There is a widely held belief that we have entered a new age – an age defined by terms such as the global economy, the global village, and the information age. As the political and business world act and react to this new age, these sectors seek to influence higher education by demanding positivistic and pragmatic approaches to planning, pedagogy, and curriculum development. As institutions of higher education respond to the demands arising from the knowledge society and as the uncritical use of new technologies multiplies, it is incumbent upon teacher educators to clarify their purposes and procedures. The authors argue that exhilarating and empowering ways of thinking and doing in teacher education could arise out of the convergence of the metaphorical application of chaos theory and the type of historical thinking proposed by Robin George Collingwood. To demonstrate how these ways of thinking might come together to counteract the dominant mythologies of positivism, they provide brief outlines of the salient features of chaos theory and of Collingwoodian thought and then explore how these ways of thinking could be utilized to shape teacher education.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.024
Scholarly communication0.0080.009
Open science0.0010.005
Research integrity0.0020.003
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 head0.045
GPT teacher head0.383
Teacher spread0.338 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations2
Published2006
Admission routes2
Has abstractyes

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