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Record W2977184676 · doi:10.55016/ojs/ajer.v65i3.56596

Mentorship within Doctoral Research Assistantships: A Canadian Case Study

2019· article· en· W2977184676 on OpenAlexvenueaboutno aff
Ewelina K. Niemczyk

Bibliographic record

VenueAlberta Journal of Educational Research · 2019
Typearticle
Languageen
FieldHealth Professions
TopicDoctoral Education Challenges and Solutions
Canadian institutionsnot available
Fundersnot available
KeywordsMentorshipPedagogyMedical educationDoctoral studiesSociologyPsychologyLibrary scienceMedicine

Abstract

fetched live from OpenAlex

This article explores research assistantship (RAship) experiences of doctoral students in one program in a Faculty of Education at a Canadian university in the province of Ontario during a specific period of time. Doctoral students’ development as researchers is a key objective in higher education institutions nationwide. RAships provide opportunities in which doctoral students can be mentored and nurtured as future researchers. However, few scholars have investigated mentoring relationships within doctoral RAships, which are rooted in research assistants’ (RAs’) lived experiences. Data for this case study were drawn from personal interviews with six doctoral students and complemented by the voices of five research supervisors and two administrators. Findings show that although RAships offer the potential for mentorship, not all RAships involve mentoring relationships. Some of the uncovered relationships between RAs and their supervisors were positive while some seemed exploitative. Results indicate that, to various degrees, research supervisors control the experiences to which RAs are exposed. Given the results of this research, more comprehensive studies are needed to identify how research supervisors might engage more effectively in inherently unequal collaborations with RAs. Keywords: research assistantships, mentorship, doctoral students, power dynamics, case study Cet article porte sur les expériences de doctorants travaillant comme assistants à la recherche dans un programme de la faculté d’éducation d’une université canadienne dans la province de l’Ontario pendant une période déterminée. Partout au Canada, les établissements d’études supérieures ont comme objectif majeur de développer leurs doctorants en chercheurs. Les postes d’assistants à la recherche offrent à ces étudiants un encadrement et un mentorat qui les soutiennent alors qu’ils sont en voie de devenir chercheurs. Toutefois, peu de recherches se sont penchées sur les expériences des doctorants dans la relation de mentorat découlant des postes d’assistants à la recherche. Les données de cette étude de cas proviennent d’entrevues personnelles auprès de six doctorants, et de contributions de la part de cinq directeurs de recherche et deux administrateurs. Les résultats indiquent que si les postes d’assistants à la recherche offrent la possibilité d’une relation de mentorat, cette relation n’est pas présente dans tous les postes. Certaines des relations entre les assistants à la recherche et les doctorants se sont avérées positives alors que d’autres semblaient abusives. Les résultats indiquent que les directeurs de recherche contrôlent, à divers degrés, les expériences auxquelles sont exposées les assistants à la recherche. Compte tenu de ces résultats, il serait important d’entreprendre des études plus approfondies pour identifier les façons dont les superviseurs pourraient mieux s’engager dans des collaborations, qui sont inégales à la base, avec les assistants à la recherche. Mots clés : postes d’assistants à la recherche; mentorat; doctorants; dynamique du pouvoir; étude de cas

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)0.015
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, 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 score0.632
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0550.005

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 head0.673
GPT teacher head0.667
Teacher spread0.006 · 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

Citations6
Published2019
Admission routes2
Has abstractyes

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