Resources: EE salaries up all over [Careers]
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
Many engineers are beginning to realize the importance of job security since the dot-com bubble burst a few years ago. Instead of expecting to hit the jackpot, engineers are simply looking for interesting jobs that won't disappear. This benefits many established companies that found it difficult to compete with the extravagant compensation many start-ups were offering during the boom. Today, we're seeing salary increases of about three to five percent, with the possible exception of select areas such as nanotechnology and medical devices. Companies are also starting to recruit directly from colleges whose wages aren't moving upward rapidly. Salaries for engineers are increasing much faster in low-wage countries such as India and China. Although still a third to a quarter what we see in the US, it has become a factor the career planning of US engineers, many of whom are looking at roles that can't be outsourced easily, such as that of field application engineers.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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