Bibliographic record
Abstract
Professor Dr. Diane Howard is Assistant Professor in the Commercial Space Operations program at Embry-Riddle Aeronautical University in Daytona Beach, Florida USA. She is responsible for curriculum development and teaching space law and policy courses that are core to the program. Diane first became involved in space initiatives in 2004, participating in citizen lobbying efforts to facilitate the passing of the Commercial Space Law Amendments Act of 2004, a critical piece of US legislation that has made possible the development of innovative technologies and a burgeoning commercial space transportation industry. Dr. Howard has retained her interest in commercial space issues. After working as a staff attorney in the Florida Appellate courts for a number of years, she took the decision to specialize in space law and attended McGill University’s Institute of Air and Space Law. Her LLM thesis centered upon private space law issues and her doctoral work focused upon effective spaceport regulation. Diane serves as Executive Secretary of the International Institute of Space Law and participates in numerous legal projects, both domestically (within the US) and internationally. She works with COMSTAC Working Groups when invited. The US Department of State named her a private sector advisor and subject matter expert in Expert Group D of the UN COPUOS STSC Long Term Sustainability of Space Activities Working Group, hoping to soon conclude its work. Dr. Howard was legal lead for the International Association for the Advancement of Space Safety Suborbital Safety (IAASS) Technical Committee, which recently finalized its guidelines. She continues to publish her research and speaks at space conferences and events throughout the world. In addition to the IISL and the IAASS, Diane is a member of the AIAA and the Florida Bar.
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.233 | 0.125 |
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".