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Raising Awareness of Research Ethics in SoTL: The Role of Educational Developers

2013· article· en· W2011933689 on OpenAlexaffvenue
Denise Stockley, Laura-Lee Balkwill

Bibliographic record

VenueThe Canadian Journal for the Scholarship of Teaching and Learning · 2013
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsRaising (metalworking)SociologySurpriseHumanitiesPedagogyEngineering ethicsPhilosophyEngineering

Abstract

fetched live from OpenAlex

Does the subject of research ethics take you by surprise? Does it make you somewhat uncomfortable? Does it seem to have nothing to do with your research or your practice? These are the attitudes we have encountered about research ethics among some SoTL researchers at workshops and conferences. In many cases, these researchers had conducted research that should have undergone research ethics board (REB) review, but did not; that should have included a consent process for the use of student data or previous work, but did not; or that started out as program evaluation and became research without meeting the criteria of ethically acceptable research conduct. In this essay, we will argue that familiarity with our national research ethics Policy: The Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans, 2nd edition (TCPS 2) and how it applies to SoTL, is essential for researchers and for educational developers. We will propose a role for Centre of Teaching and Learning staff in raising awareness of TCPS 2 and we will dispel some of the most common myths and misconceptions that abound regarding SoTL and research ethics. Le sujet de l’éthique de la recherche vous surprend-il? Vous rend-il quelque peu mal à l’aise? Semble-t-il ne rien avoir à faire avec votre recherche ou votre pratique? Ce sont des attitudes que nous avons rencontrées quant à l’éthique de la recherche chez certains chercheurs en ACEA dans des ateliers et des conférences. Dans de nombreux cas, les chercheurs ont effectué des recherches qui auraient dû être examinées par les conseils d’éthique en recherche, mais qui ne l’ont pas été; qui auraient dû comprendre un processus de consentement pour l’utilisation de données sur les étudiants ou de travaux antérieurs et pour lesquelles mais ils n’en ont pas, ou qui ont commencé par être une évaluation de programme et qui sont devenues une recherche sans toutefois respecter les critères relatifs à la conduite d’une recherche éthiquement acceptable. Dans cet essai, nous expliquons que la connaissance de notre politique nationale d’éthique en matière de recherche : l’Énoncé de politique des trois Conseils : Éthique de la recherche avec des êtres humains 2e édition (EPTC 2), est essentielle et nous montrons en quoi elle s’applique à l’ACEA. Nous proposons un rôle pour le personnel du Centre d’enseignement et d’apprentissage afin de mieux faire connaître l’EPTC 2 et dissipons les mythes et idées erronées les plus courants qui abondent concernant l’ACEA et l’éthique de la recherche.

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)0.087
metaresearch head score (Gemma)0.182
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.278
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0870.182
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.019
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 head0.548
GPT teacher head0.588
Teacher spread0.039 · 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 designObservational
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

Citations18
Published2013
Admission routes2
Has abstractyes

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