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Pedagogical integrity in the knowledge economy

2004· article· en· W2101967546 on OpenAlexaff
Florence Myrick

Bibliographic record

VenueNursing Philosophy · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsKnowledge economyBusinessKnowledge managementPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Abstract In pedagogy, as in life generally, there are moral complexities and ambiguities intrinsic to the teaching-learning process. Within the context of the knowledge economy and globalization those complexities and ambiguities are proliferating. How we as educators address the interface between these complexities is critical to how well we and those we serve fare in the educational and practice environment. With the emergent corporate university culture it would seem that the major goal is to become a 'knowledge factory' or a site of knowledge creation. Increasingly its scientific and technological agenda is to focus on generating knowledge that would further the means and ends of economic growth and public policy. Traditionally, however, education has meant much more than this. Indeed, the original purpose of university education was designed to foster a desire for right conduct and good things which ultimately cannot be neatly packaged and delivered. Within this view, university educators would thus be expected to cultivate a climate of self-reflection in which learning can be fulfilling in itself. This paper explores the notion of globalization and its hegemonic influence on the university agenda and addresses how corporatism, a key dimension of globalization, is in effect usurping the very essence of the teaching-learning process.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.912
Threshold uncertainty score0.286

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.147
GPT teacher head0.425
Teacher spread0.278 · 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 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

Citations19
Published2004
Admission routes1
Has abstractyes

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