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SoTL Research Fellows: Collaborative Pathfinding through Uncertain Terrain

2017· article· en· W2774770501 on OpenAlexaffvenueabout
Elizabeth Marquis, Trevor Holmes, Konstantinos Apostolou, Dan Centea, Robert Cockcroft, Kris Knorr, John C. Maclachlan, Sandra de Jesus Correia Monteiro, Theomary Karamanis

Bibliographic record

VenueThe Canadian Journal for the Scholarship of Teaching and Learning · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsWestern UniversityUniversity of WaterlooMcMaster University
Fundersnot available
KeywordsScholarshipNominationScholarship of Teaching and LearningHumanitiesSociologyIdentity (music)PedagogyLibrary sciencePolitical scienceArtTeaching methodTeaching and learning center

Abstract

fetched live from OpenAlex

From 2014-2016, Scholarship of Teaching and Learning (SoTL) Research Fellows at a mid-sized Canadian research-intensive, medical-doctoral university undertook to study their own formation as scholars of teaching and learning, as well as benefits and challenges of their cross-appointment to our central teaching and learning institute from their home academic departments. Findings from surveys and focus groups identified themes such as identity, community, access, transfer, and structural elements (each with benefits and challenges to practice). Our autoethnographic work confirms assertions in the literature about the uneasy relation between SoTL and traditional scholarship, while also bearing out the need for departmental support, and for key interventions along the path from novice to practitioner identity. Some discussion of the ambassador or translator role that can flow from such arrangements is included. De 2014 à 2016, les chercheurs en Avancement des connaissances en enseignement et en apprentissage (ACEA) d’une université canadienne médicale-doctorale de taille moyenne ayant un coefficient de recherche élevé ont entrepris une étude portant sur leur propre formation en tant que chercheurs érudits en matière d’enseignement et d’apprentissage, ainsi que sur les avantages et les défis de leur nomination conjointe à notre institut central d’enseignement et d’apprentissage tout en enseignant dans leur propre département universitaire. Les résultats des sondages et des groupes de discussion ont permis d’identifier certains thèmes tels que l’identité, la communauté, l’accès, le transfert, ainsi que des éléments structuraux (chacun présentant des avantages et des défis concernant la pratique). Notre travail autoethnographique confirme les assertions présentes dans la documentation existante concernant la relation difficile qui existe entre l’ACEA et la recherche traditionnelle, tout en tenant compte de la nécessité du soutien départemental ainsi que pour les interventions clés sur la voie qui consiste à passer de l’identité de novice à celle de praticien. L’article contient également des discussions sur le rôle d’ambassadeur ou de traducteur qui peut découler de tels arrangements.

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)0.041
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.754
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0410.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0660.001
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0000.003
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 head0.256
GPT teacher head0.490
Teacher spread0.234 · 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; both teacher heads agree on what is shown here.

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

Citations12
Published2017
Admission routes3
Has abstractyes

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