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Record W2923653985

Thriving in Higher Education: Voices of Four Female Graduate Students

2019· article· en· W2923653985 on OpenAlexaffabout
Nadia Arghash

Bibliographic record

VenueQSpace (Queen's University Library) · 2019
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsQueen's University
Fundersnot available
KeywordsThrivingMentorshipContext (archaeology)PsychologyGraduate studentsMedical educationPedagogyMedicineGeography
DOInot available

Abstract

fetched live from OpenAlex

This study explored thriving in the context of graduate studies as perceived by four female students attending master’s and doctoral programs in a Canadian university. Thriving is an all-encompassing approach that extends beyond meeting the academic objectives (Schreiner, Pothoven, Nelson, & McIntosh, 2009). Recently, there have been extensive studies regarding thriving in the undergraduate context (e.g. Berea, Tsvetovat, Daun-Barnett, Greenwald, & Cox 2015; Schreiner, 2010a; 2013; Schreiner, Kammer, Primose, & Quick, 2011). Despite the uniqueness of the graduate demographic compared to the undergraduate (Gansemer-Topf, Ross & Johnson, 2006), little is known about graduate students’ thriving processes and their fulfillment with their academic experience. The purpose of this qualitative study was to understand graduate students’ perceptions and experiences of thriving, as well as the factors that influenced their thriving in graduate school. Data were collected from four female graduate students through semi-structured interviews and analyzed using a deductive thematic approach. Thriving Perceptions and Experiences, Supports for Thriving, and Barriers to Thriving were the pre-determined themes utilized for this study. Supports and barriers were further branched into intrapersonal, interpersonal, and institutional factors. The findings of this study are presented in two sections. The first section highlighted thriving conceptualization in graduate studies through individuals’ perceptions and experiences. These findings illustrate that thriving in graduate studies is unique, multi-faceted, and malleable. For master’s participants in particular, thriving additionally signified a profound academic transition. In the second section, I presented the conditions that affected thriving, which included notions of connectedness, contribution, mentorship, compartmentalization, and imposter syndrome. Although similar to undergraduate students in many ways, there were distinct characteristics pertaining to thriving among the participants of this study, leading to implications for future research and practice. Keywords: graduate students, graduate school, positive mental health and well-being, thriving

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0130.008
Scholarly communication0.0060.003
Open science0.0020.009
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0030.001

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 head0.032
GPT teacher head0.305
Teacher spread0.274 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations2
Published2019
Admission routes2
Has abstractyes

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