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Record W2314820328 · doi:10.1080/00220973.2016.1143795

The Effects of Rhetorical and Content Subgoals on Writing and Learning

2016· article· en· W2314820328 on OpenAlex
Perry D. Klein, Katrina N. Haug, Nina Arcon

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Experimental Education · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicWriting and Handwriting Education
Canadian institutionsWestern University
Fundersnot available
KeywordsRhetorical questionRhetorical modesArgument (complex analysis)Computer sciencePsychologyContent (measure theory)Mathematics educationLinguisticsChemistryMathematicsPhilosophy

Abstract

fetched live from OpenAlex

Argument writing is challenging for elementary students. Previous experimental research has focused on scaffolding rhetorical goals, leaving content goals relatively unexplored. In a randomized experiment, 73 students in grades 5, 6, and 7 wrote persuasive texts about difficult-to-classify vertebrates. Each student received one of three sets of writing prompts: a persuasive goal only (control); a persuasive goal + rhetorical-subgoal prompts; or a persuasive goal + content-subgoal prompts. Rhetorical subgoals increased text quality, variety of rhetorical moves, number of complex propositions, and classification knowledge. Content subgoals increased the number of simple propositions in text. A path analysis indicated that content-subgoal prompts and rhetorical-subgoal prompts elicited different paths to writing and learning.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.524
Threshold uncertainty score0.432

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.030
GPT teacher head0.353
Teacher spread0.324 · 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