Remote Sensing Data:Some Critical Comments on the Current State of Regulation and Reflection on Reform
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
The authors provided an overview of several aspects of the legal protection of satellite remote sensing images. After referring to some national legislations and space policies for remote sensing distribution of spatial systems (US, Russian Fed., Canada, EU, India), the authors addressed the different legal protection formulas used in distribution agreements (copyright, EU Database Protection, classified information, etc.). Dr. Smith and Ms. Doldyrina questioned the applicability of the copyright formula to automatically generated data. In respect to EU Database Protection, the authors referred to several decisions of the European Court of Justice, which held that “...a right cannot be derived from the mere creation of a database”. The authors found highly questionable that under those Court decisions such protection applies to remote sensing operators, who only invest in creating a database. They proposed to create precise and clear definitions of remote sensing products, to identify proper legal protection for each of those products and to internationally harmonize the different licensing approaches. For this task, they suggested UNIDROIT as the forum to draft a model law.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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