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Record W2017026818 · doi:10.1007/s10972-013-9348-x

Writing Like a Scientist: Exploring Elementary Teachers’ Understandings and Practices of Writing in Science

2013· article· en· W2017026818 on OpenAlex
Nicole J. Glen, Sharon Dotger

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

VenueJournal of Science Teacher Education · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicScience Education and Pedagogy
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsMathematics educationScience educationCreativityPresentation (obstetrics)CurriculumNature of SciencePedagogyScientific writingPsychologyLiterature

Abstract

fetched live from OpenAlex

This qualitative study examined the connections between elementary teachers’ conceptions of how scientists use writing and how the teachers used writing during science lessons. Data collected included lesson observations, interviews, handouts to students, and curriculum resources. The findings revealed that teachers in this study thought scientists write for several purposes: the presentation of data, observations, experiences, procedures, and facts. The teachers used writing tasks that mirrored this with their students. The teachers also had a limited definition of creativity in writing, and when they had students write creatively in science it was to add in fictional elements. Implications of this study include providing teachers with better models for how and why scientists write, including these models in more inquiry-based science lessons, and directly relating concepts of nature of science to elementary science writing.

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)0.019
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.413
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.005
Scholarly communication0.0010.010
Open science0.0010.000
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 head0.164
GPT teacher head0.457
Teacher spread0.293 · 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