NASA’s Artemis Lunar Program: Hybrid Venture, Complex Infrastructure Regime and Governance Crisis
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
Launched in 2020, the Artemis Accords are the most ambitious and collaborative space program to send humans to the Moon and beyond. Spearheaded by NASA, this space exploration project involves a growing number of international partners who are actively contributing to the development of lunar infrastructures at various stages. While the legal issues of a facility on the Moon have been largely addressed, this paper aims to underscore the complexity and scope of the social and technical organization of the Artemis program. To this end, Australia, Canada, Japan, and the United Kingdom, which are strategically closest to the United States are used as case studies to grasp the full implications of a program that is first and foremost the expression of a power projection. This article also argues that U.S. domestic political and budgetary whims render the project’s progress uncertain, exposing the discrepancies inherent in a multinational venture. In the context of U.S.-China systemic rivalry, the implementation of this complex infrastructure regime, involving cutting-edge technology, highlights the interdependencies that the program induces, and the limitations of this hybrid model with its centralized organization and deconcentrated architecture.
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