Bibliographic record
Abstract
Peter Beck is the founder, Chief Executive Officer, and Chief Engineer of Rocket Lab, a leading launch and space systems company opening access to space to improve life on Earth. Rocket Lab’s capabilities span the space economy, including satellite design and manufacture, industry-leading spacecraft software and components, and reliable launch services. Under Mr. Beck’s leadership, Rocket Lab’s Electron launch vehicle has become the second most frequently launched U.S. rocket and Rocket Lab satellite subsystems have been featured on more than 1,700 spacecraft on orbit globally. Rocket Lab technology enables some of humanity’s most ambitious space missions, including complex interplanetary science missions, national security programs, and vast commercial constellations. Since founding the company in 2006, Mr. Beck has grown Rocket Lab into a global organization of 1,200 people across the United States, Canada and New Zealand. Today, Rocket Lab’s launch vehicles, satellites and space systems are relied upon by a range of global mission partners including NASA, the United States Space Force, DARPA, the National Reconnaissance Office, and a broad range of commercial satellite and constellation operators.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.003 | 0.004 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.022 | 0.057 |
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".