The Pursuit of Success in Academia: Plato’s Ghost Asks “What then?”
Bibliographic record
Abstract
What do we pursue as we seek success in academia? For most, the path to academic success focuses narrowly on A-level journal publications, which has caused a stealthy but steady erosion in the very essence of academia. In this essay, we explore that erosion by drawing on the poem by William Butler Yeats titled “What then?” to highlight the questions, doubts, and perils that lie at each of the four stages of academic life: doctoral student, junior professor, senior professor, and professor emeritus. We then offer a new set of questions that academics may ask at each stage to remain true to their sense of scholarly identity and calling. Our hope is to shine a critical spotlight on the modal journey and inspire a confident and courageous few to deviate from that well-trodden path and chart a course that is truer to the essence, purpose, and potential of academia.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.069 |
| Scholarly communication | 0.017 | 0.023 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.013 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".