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Record W7066667672

International environmental law principles: a new solution for the space debris problem?

2021· dissertation· en· W7066667672 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2021
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicLaser-Plasma Interactions and Diagnostics
Canadian institutionsnot available
FundersMcGill University
KeywordsSpace debrisOuter spaceSpace lawSpace (punctuation)SpacecraftMilitarizationSustainabilitySituation awarenessEnvironmental lawInternational law
DOInot available

Abstract

fetched live from OpenAlex

Satellites orbiting the Earth form the exoskeleton of the world's critical infrastructure: global communications, air transport, maritime trade, financial services and weather monitoring all depend on an expansive network of satellites in space.There are however inherent consequences to human activities in outer space.The most critical challenge to the safety, security, and sustainability of outer space is the threat posed by space debris to the spacecraft of all nations.The emerging commercialization, democratization and militarization of space has led to the growth of space debris, heavily concentrated in the orbits where human activities take place.In light of this challenge, this thesis analyzes international space law treaties and soft-law instruments with a view to determine their relevance and effectiveness in addressing the space debris dilemma.It recommends that legal principles from a different legal frameworkinternational environmental law -be applied in outer space to impose stronger obligations on spacefaring countries, and lead to a more successful and equitable strategy to preserve the outer space environment.In practical terms, the precautionary principle, the no-harm rule, and the common but differentiated responsibilities principle should lead to: (1) greater compliance with space debris mitigation measures to stabilize the debris population; (2) improved space situational awareness programs with more detailed and accurate data-sharing between States; and(3) continued research, investment, and the eventual implementation of space debris removal mechanisms.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.940
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.016
GPT teacher head0.244
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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