Reasons, motives and motivations for completing a PhD: a typology of doctoral studies as a quest
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.
Bibliographic record
Abstract
Purpose This study aims to examine how PhD students with diverse profiles, intentions and expectations manage to navigate their doctoral paths within the same academic context under similar institutional conditions. Drawing on Giddens’ theory of structuration, this study explores how their primary reasons, motives and motivations for engaging in doctoral studies influence what they perceive as facilitating or constraining to progress, their strategies to face the challenges they encounter and their expectations regarding supervision. Design/methodology/approach Using a qualitative design, the analysis was conducted on a data subset from an instrumental case study (Stake, 2013) about PhD students’ persistence and progression. The focus is placed on semi-structured interviews carried out with 36 PhD students from six faculties in humanities and social sciences fields at a large Canadian university. Findings The analysis reveals three distinct scenarios regarding how these PhD students navigate their doctoral paths: the quest for the self; the intellectual quest; and the professional quest. Depending on their quest type, the nature and intensity of PhD students’ concerns and challenges, as well as their strategies and the support they expected, differed. Originality/value This study contributes to the discussion about PhD students’ challenges and persistence by offering a unique portrait of how diverse students’ profiles, intentions and expectations can concretely shape a doctoral experience.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it