Letters to a young engineer. Fifth edition, 2018
Bibliographic record
Abstract
A Promise to Future GenerationsYou are, in a very real way, stewards of the world.Keep it well and sustain it with your creativity and innovation.Reach out to the diverse network you have forged while at university, and look for solutions beyond your formal disciplines.Collaborate for success by seeking different opinions, building and engaging multidisciplinary teams, and remembering that diversity is at the heart of creativity and innovation.Whatever road you take, you can take that step confident in the knowledge and experience that you have gained.Find the strength that will allow you to take risks.Never lose your sense of curiosity and your joy of engineering new possibilities and opportunities-what you create and change will have a great and lasting impact on you and others in your global community.I encourage you to transform the engineering profession in ways that reflect your passion.And never forget that you could not have made these strides if it had not been for the love and encouragement of other people.For my part, I must thank the mentors and colleagues I have encountered all my life.Also, I must thank my parents, who believed that their curious daughter could dismantle and rebuild, and make them, I hope, proud.With warmest wishes for a rewarding engineering journey.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.279 | 0.217 |
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".