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Record W7099029081

Engaging Students as Thinkers and Writers in Every Discipline 11th Annual Dalhousie Conference on University Teaching and Learning

2007· article· en· W7099029081 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBryophyte Studies and Records
Canadian institutionsnot available
Fundersnot available
KeywordsRhetorical questionConstruct (python library)Variety (cybernetics)LiteracyField (mathematics)Professional writingAcademic writingTask (project management)Discourse community
DOInot available

Abstract

fetched live from OpenAlex

I’d like to start by thanking the conference organizers for asking me to speak here today. As I will argue in what follows, every invitation to write is – or can be – an invitation to think, to reflect, and to learn. The elements of any writing task – the topic, the audience, the occasion, the purpose – interact to construct a unique intellectual and social opportunity. As I was writing this paper, with this moment and this audience in mind, I thought in particular ways about my 30 years in the field of Writing Studies and about what we know about writing and why that knowledge matters. In the past three decades, there have been dramatic developments in the study and teaching of writing. Theorists, researchers, and teachers have created a complex and detailed account of writing by drawing on a rich variety of sources, including the classical rhetorical traditions of Greece and Rome, contemporary studies of cognition, the sociology of knowledge, research into academic and workplace writing, new literacy theories, the digital revolution, and the current cross-disciplinary fascination with discourse. The result is a body of knowledge about writing that has profound practical and pedagogical implications for teaching, thinking, and learning across the curriculum.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score0.446

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.012
GPT teacher head0.253
Teacher spread0.241 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

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Same topicBryophyte Studies and RecordsFrench-language works237,207