DC best place for grads to start a career
Bibliographic record
Abstract
College grads might want to head to Washington DC. Forbes has ranked the nation's capitol as the top city for 20 something's to launch their careers. Minneapolis is #2 followed by Denver and San Francisco. Forbes looked at the number of jobs in the cities, the unemployment rate and the average cost of living. In other studies, Rent.Com looked at US cities with populations of more than 100,000 and found DC the easiest for people age 20-34 to afford. They also factored in the availability of restaurants, bars, nightlife and entertainment opportunities. The top three most-populous cities, New York, Los Angeles and Chicago, didn’t make the cut. And CareerBliss.com looked at the 10 happiest cities for job seeking college grads when it comes to cost of living and entertainment. St Louis was #1. Salt Lake City and Jacksonville, Florida were #2 and 3. Other places most likely to keep a smile on a young person's face were Memphis, Indianapolis, Orlando, Houston, San Antonio, Oklahoma City, and Birmingham, Alabama.
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 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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.069 |
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; both teacher heads agree on what is shown here.
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".