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Record W2212306351 · doi:10.55016/ojs/ajer.v59i1.55678

Fulfilling an ethical obligation: An educative research assistantship

2013· article· en· W2212306351 on OpenAlexafffundvenueabout
Michelle K. McGinn, Ewelina K. Niemczyk, Mary Gene Saudelli

Bibliographic record

VenueAlberta Journal of Educational Research · 2013
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsBrock University
FundersSocial Sciences and Humanities Research Council of CanadaBrock University
KeywordsObligationLibrary scienceHumanitiesSociologyPedagogyPsychologyPolitical sciencePhilosophyComputer science

Abstract

fetched live from OpenAlex

Scant research evidence is available about the day-to-day workings of research assistantships or the educational possibilities they provide for research assistants and their academic supervisors. This case study documents the equitable, educative, and ethical nature of one research assistantship at a Canadian university. Data sources include audio recordings and transcripts from 24 research meetings, along with field notes and textual documents gathered over 8 months as the research assistant and academic supervisor designed, conducted, and presented an interview-based study. Evidence shows the academic supervisor supported the research assistant as she learned research skills and developed confidence as a researcher. The case study provides a potential model of an equitable, educative, and ethical research assistantship for the consideration of other research assistants and academic supervisors. Il existe peu de données de recherche portant sur les activités quotidiennes qu’impliquent les assistanats à la recherche ou sur les possibilités éducatives qu’ils offrent aux assistants à la recherche et à leurs superviseurs académiques. Cette étude de cas évoque la nature équitable, éducative et éthique d’un assistanat à la recherche dans une université canadienne. Les sources de données comprennent des enregistrements et des transcriptions audio de 24 réunions de recherche, des notes d’observation sur le terrain et des textes recueillis au cours de 8 mois pendant lesquels l’assistante à la recherche et le superviseur académique ont conçu, entrepris et présenté une étude reposant sur les entrevues. Des données probantes indiquent que le superviseur a appuyé l’assistante à la recherche pendant qu’elle acquérait des compétences de recherche et prenait confiance en elle comme chercheuse. Cette étude de cas constitue un modèle potentiel d’assistanat à la recherche équitable, éducatif et éthique que pourraient examiner d’autres assistants à la recherche et superviseurs académiques.

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)0.011
metaresearch head score (Gemma)0.075
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.683
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.075
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.005
Insufficient payload (model declined to judge)0.0300.001

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 head0.235
GPT teacher head0.556
Teacher spread0.321 · 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

Citations14
Published2013
Admission routes4
Has abstractyes

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