MétaCan
Menu
Back to cohort
Record W1969799148 · doi:10.1080/07294360.2011.653956

Developing research capacity among graduate students in an interdisciplinary environment

2012· article· en· W1969799148 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHigher Education Research & Development · 2012
Typearticle
Languageen
FieldHealth Professions
TopicDoctoral Education Challenges and Solutions
Canadian institutionsUniversity of Victoria
FundersHealth Canada
KeywordsThematic analysisConceptual frameworkGraduate studentsContext (archaeology)Capacity developmentPerspective (graphical)Graduate researchPedagogyWork (physics)SociologyEngineering ethicsMathematics educationPsychologyMedical educationQualitative researchEngineeringComputer scienceMedicineGeographySocial science

Abstract

fetched live from OpenAlex

A critical review of research to date suggests a need to explore the development of graduate student research capacity from the standpoint of graduate students. Six members of an interdisciplinary graduate student colloquium at the Centre for Youth and Society (Victoria, Canada) offer their perspective. Our research involved four phases, each illustrating the processes that refined our understanding of the components that contributed to the development of our graduate student research capacity. First, we engaged in several round-table discussions and created a conceptual map depicting components that were meaningful in developing our research capacity. Second, we examined previous work on graduate student research capacity development and compared this data to the conceptual map. Third, we conducted a thematic analysis of secondary data of graduated students with similar interdisciplinary training and involvement in the Centre. Finally, the data analysis was used to refine the conceptual map that may benefit educators and future graduate students. From the standpoint of students themselves, we discuss those components perceived as best contributing to the development of graduate student research capacity and highlight the importance of an interdisciplinary context and writing process.

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.

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)0.012
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, 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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0010.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.003

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 head0.614
GPT teacher head0.655
Teacher spread0.041 · 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