Constructing post‐PhD careers: negotiating opportunities and personal goals
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 Until relatively recently, the doctorate was generally perceived as preparation for a full‐time permanent academic position. However, this is no longer the case, with many PhD graduates working outside academia or in temporary full‐ and part‐time positions in higher education institutions. Yet, we know little of the ways in which they perceive and then navigate the transition from PhD to initial careers. Thus authors undertook an analysis of longitudinal data from six social sciences PhDs (part of a larger dataset) to document how they transitioned from the PhD and navigated a future. Design/methodology/approach Different forms of data, collected multiple times over two years, were analysed using emergent coding to capture the experiences of navigating a future. Findings The results enrich present understanding of this end‐of‐PhD period, in particular, highlighting individuals' growing understanding of academic, hybrid and non‐academic career opportunity structures, and the importance of personal intentions and relationships in defining possible horizons for action. Originality/value The conceptual and pedagogical contributions of this study to understanding doctoral and post‐doctoral career decision‐making are described.
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 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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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