Fulfilling an ethical obligation: An educative research assistantship
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.139 | 0.162 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.031 | 0.041 |
| Scholarly communication | 0.022 | 0.016 |
| Open science | 0.004 | 0.019 |
| Research integrity | 0.006 | 0.013 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".