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Record W4252502079 · doi:10.22215/etd/2015-11101

The Content, Contextualization, and Effectiveness of Writing-Assignment Instruction Documents

2015· dissertation· en· W4252502079 on OpenAlexaff
Craig St Jean

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsContextualizationRhetorical questionSet (abstract data type)Class (philosophy)Context (archaeology)Mathematics educationPerceptionComputer scienceAction (physics)Action researchPedagogyQuality (philosophy)PsychologyLinguisticsArtificial intelligence

Abstract

fetched live from OpenAlex

This study of writing-assignment instruction documents (WAIDs) uses concepts from Rhetorical Genre Studies to examine WAIDs as a rhetorical genre by exploring the information that WAIDs contain, their contextualization within the university classroom, and how they situate users within that context. Further, it compares instructor and student perceptions to infer how WAIDs can most effectively communicate instructors' expectations for assignments and foster quality writing. My analysis of (a) WAIDs from 11 sophomore courses, (b) interviews with students and instructors from two sophomore courses, (c) WAIDs from those two courses, and (d) students' assignments written with those WAIDs suggests the following: WAIDs contain up to twelve categories of information, reinforce classroom roles, and set boundaries for student action, and yet students may see WAIDs as supplementary to in-class discussion of instructors' expectations for assignments. Also discussed are differences between the two sophomore classes in students' recognition of expectations for writing assignments.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.887
Threshold uncertainty score0.473

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 head0.030
GPT teacher head0.302
Teacher spread0.272 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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