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 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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".