Early career professionals: A challenging road
Bibliographic record
Abstract
The term "early career professional" (ECP) indicates a generation of professionals that demonstrates the potential to succeed established professionals and leaders. The field of thrombosis and hemostasis has a large ECP community. They often face typical challenges in their endeavor to establish an independent academic career. A healthy work‐life balance and mentoring are key for ECPs to create the ideal circumstances to advance their careers. However, multitasking training, research and clinical duties is a burden, and burnout is a looming issue. The advent of the smartphone presents an additional challenge by blurring the border between work and non‐work time. This Forum describes some of the typical challenges faced by ECPs, highlights existing literature and suggests practical solutions relevant to ECPs in the field of thrombosis and hemostasis, and the possible role of the ISTH Early Career Committee.
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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 | 0.034 | 0.046 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.031 | 0.014 |
| Scholarly communication | 0.025 | 0.030 |
| Open science | 0.003 | 0.030 |
| Research integrity | 0.020 | 0.030 |
| Insufficient payload (model declined to judge) | 0.027 | 0.008 |
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".