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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)-based International 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 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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.877
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0000.002
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 head0.289
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 teacher head, not a consensus.

Study designNot applicable
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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