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Record W2936297453 · doi:10.1177/1477971419842887

Not just a phase: Exploring the role of program stage on well-being and motivation in doctoral students

2019· article· en· W2936297453 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.

Bibliographic record

VenueJournal of Adult and Continuing Education · 2019
Typearticle
Languageen
FieldHealth Professions
TopicDoctoral Education Challenges and Solutions
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCourseworkPsychologyPhase (matter)Academic achievementWell-beingMedical educationPedagogyMathematics educationPsychotherapist

Abstract

fetched live from OpenAlex

Doctoral students’ well-being and motivation are important factors that are both shaped by, and shape students’ academic experiences in their programs. Existing literature consistently highlights the concerning well-being and maladaptive motivational patterns in doctoral students, but no research to date attempted to explore some of the structural features associated with these wellness and achievement factors in a large-scale study. The present study examined whether doctoral program phase (i.e. coursework, comprehensive examination, or dissertation phase had an effect on 3004 doctoral students’ well-being levels (stress, depression, program satisfaction, and illness symptoms) and motivation (self-determined motivation and self-efficacy). Results revealed doctoral students to report the highest well-being and internal motivation during the coursework phase, while the comprehensive examination phase was found to be the most challenging for most students as indicated by the lowest wellness and motivation scores. A discussion of the present results and their theoretical and practical implications ensues.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.251
Threshold uncertainty score0.227

Codex and Gemma teacher scores by category

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

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 head0.101
GPT teacher head0.482
Teacher spread0.382 · 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