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Record W1989054385 · doi:10.1080/14759390500200190

On conversation and design: a socially constructed practice

2005· article· en· W1989054385 on OpenAlexaff
Katy Campbell, Susan E. Gibson, Catherine Gramlich

Bibliographic record

VenueTechnology Pedagogy and Education · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsConversationAutoethnographyNarrativeReflexivityProcess (computing)RedevelopmentRepresentation (politics)PedagogySociologyPsychologyComputer scienceLinguisticsEngineeringCommunicationPolitical scienceSocial science

Abstract

fetched live from OpenAlex

This article is about how conversation becomes both instructional design process and reflexive narrative inquiry. The narrative is shaped around the story and restorying of a course redevelopment project in teacher education. Told in three parts, the Start of the Journey recalls the authors' individual beliefs and expectations about teaching and learning and the instructional design process; the Heart of the Journey is their account of how the design process influenced their beliefs; and Reflections on the Journey explores how personal understandings and professional practice are transformed through a process of collaborative conversation. Autoethnography supports both research process and representation.

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)0.058
metaresearch head score (Gemma)0.046
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.986
Threshold uncertainty score0.308

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0580.046
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.003
Science and technology studies0.0140.141
Scholarly communication0.0270.022
Open science0.0030.018
Research integrity0.0080.008
Insufficient payload (model declined to judge)0.0050.001

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 head0.088
GPT teacher head0.439
Teacher spread0.351 · 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.

Study designQualitative
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

Citations10
Published2005
Admission routes1
Has abstractyes

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