Change in commercial sectors exploiting space infrastructure : analysis and economic indicators
Bibliographic record
Abstract
This thesis develops a methodology for assessing the economic importance of commercial sectors using space infrastructure, commonly referred to as the downstream space sector. Part 1 (Chapters 1 and 2) contextualizes and identifies methodological challenges. Chapter 1 discusses the New Space era as a structural change in the space sector, accelerating commercial space development and opening new market opportunities. Chapter 2 conducts a literature review to underline challenges in evaluating the space sector's downstream part. Part 2 (Chapters 3 and 4) focuses on developing the evaluation methodology applied to France in 2021. Chapter 3 proposes an approach based on named entity recognition to identify downstream space companies. Chapter 4 details the measurement of revenues from the downstream space sector. Lastly, Part 3 (Chapter 5) enriches the method with a theoretical analysis of the economic nature of data and information in the digital era, developing a framework inspired by the flow-fund approach to characterize their role in value creation.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.010 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".