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Technical rationality in Schön’s reflective practice: dichotomous or non‐dualistic epistemological position

2007· article· en· W2053489055 on OpenAlexaff
Elizabeth Anne Kinsella

Bibliographic record

VenueNursing Philosophy · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsWestern University
Fundersnot available
KeywordsRationalityEpistemologyAcknowledgementSociologyPopularityPosition (finance)PsychologyPhilosophySocial psychologyEconomicsComputer science

Abstract

fetched live from OpenAlex

Donald Schön's theory of reflective practice has received unprecedented attention as an approach to professional development in nursing and other health and social care professions. This paper examines technical rationality in Schön's theory of reflective practice and argues that its critique is a broad and often overlooked epistemological underpinning in this work. This paper suggests that the popularity of Schön's theory is tied in part to his critique of technical rationality, and to his acknowledgement of the significance of practitioner experience and indeterminate zones of practice in the development of expertise. Schön tapped into a growing disillusionment with technical rationality that coincided with a crisis of knowledge across a range of disciplines. The question is raised as to whether Schön's critique sets up a dichotomy between technical rationality and experience, or overcomes it. The conclusions suggest that Schön is not discarding research-based professional knowledge, but rather challenging conflated views of its practical significance. In this way, it is proposed that his critique of technical rationality can be interpreted as an attempt to overcome dualistic thinking as it pertains to professional knowledge.

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)0.039
metaresearch head score (Gemma)0.042
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 score0.039
Threshold uncertainty score0.208

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0390.042
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0060.119
Scholarly communication0.0140.013
Open science0.0030.009
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0010.001

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 head0.076
GPT teacher head0.489
Teacher spread0.414 · 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

Citations78
Published2007
Admission routes1
Has abstractyes

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