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Record W2591860702 · doi:10.47678/cjhe.v46i4.186346

Examining Success and Sustainability of Academic Writing: A Case Study of Two Writing-Group Models

2017· article· en· W2591860702 on OpenAlex
Kinga Olszewska, Jennifer Lock

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Higher Education · 2017
Typearticle
Languageen
FieldHealth Professions
TopicDoctoral Education Challenges and Solutions
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSustainabilityAcademic writingReflexivityHigher educationSociologyField (mathematics)PedagogyPsychologyPublic relationsMathematics educationPolitical scienceSocial science

Abstract

fetched live from OpenAlex

In contemporary higher education there is a growing demand for academics to increase their publication output. This requirement raises the question of how institutions can best support a sustainable academic writing culture, which is needed to challenge the assumption that all academics know how to write for publication. This case study examines two models used in a Faculty of Education to support writing groups for academic staff. From the analysis of reflective journals, interviews, and field notes, we identified four factors that influence the success of writing groups, as well as six conditions that support the development of sustainable academic writing. We have learned from the study that the success of a writing group is predicated on a collaborative practice that blends relational, communal, and institutional forms of sustainability in a purposeful, engaged, and reflexive way.

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)0.000
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 score0.315
Threshold uncertainty score0.981

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.262
GPT teacher head0.543
Teacher spread0.280 · 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