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Record W4399092017 · doi:10.1080/1360144x.2024.2350643

Exploring international collaborative writing groups’ potential for community-based academic development around public SoTL

2024· article· en· W4399092017 on OpenAlexaff
Henk Huijser, Janel Seeley, Siobhán Wittig McPhee

Bibliographic record

VenueThe International Journal for Academic Development · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPolitical scienceSociology

Abstract

fetched live from OpenAlex

This paper reports on a new version of the ISSOTL (International Society of the Scholarship of Teaching and Learning)-basedInternational Collaborative Writing Groups (ICWGs), which has a specific focus on public scholarship.In this study, we focus on the community-based elements of the ICWGs-Public, and in particular on community-based academic development, including cross-institutional and international collaboration aspects of ICWGs-Public.In this qualitative study, we use Wenger and Wenger-Trayner's communities of practice evaluation framework, which outlines seven levels of value, to explore the potential outcomes and benefits of ICWGs-Public, based on a series of semi-structured interviews with participants.ICWGs-Public show potential as a model for cross-institutional community-based academic development, particularly if the community of practice has a strong central focus, in this case public SoTL.Community-based academic development may therefore have an important role to play in extending SoTL beyond the academic realm.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.055
metaresearch head score (Gemma)0.089
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.986
Threshold uncertainty score0.293

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0550.089
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0140.016
Scholarly communication0.0140.011
Open science0.0040.039
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.289
GPT teacher head0.434
Teacher spread0.145 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
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

Citations3
Published2024
Admission routes1
Has abstractyes

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