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Introduction

2020· book-chapter· en· W3123183735 on OpenAlexaboutno aff
Matthew H. Hersch, Cassandra Steer

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldPhysics and Astronomy
TopicSpace exploration and regulation
Canadian institutionsnot available
Fundersnot available
KeywordsTransparency (behavior)NegotiationSpace (punctuation)Political scienceOuter spaceSpace lawLawComputer science

Abstract

fetched live from OpenAlex

Abstract War and Peace in Outer Space examines the legal, policy, and ethical issues animating current concerns regarding the growing weaponization of outer space and the potential for a space-based conflict in the very near future. A collection of diverse voices rather than the product of a single scholarly mind, it builds upon a conference that was held in Philadelphia in April 2018, hosted by the Center for Ethics and the Rule of Law, at the University of Pennsylvania Law School, and designed by co-editor Cassandra Steer. The conference was an exceptionally high-level invitation-only roundtable for the duration of two days, attended by approximately thirty experts on space warfare from Canada, Europe, and the United States. In addition to calling attention to likely current and future threats to national and global security stemming from the use and misuse of the space environment, attendees suggested measures for ameliorating the risk of conflict in space, including international negotiation, transparency, and reporting on the use of space-based assets, and the establishment of clear rules, backed up by sanction regimes, against hostile actions that threaten the peaceful use of space by all nations.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.756
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0270.003

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 head0.013
GPT teacher head0.208
Teacher spread0.195 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2020
Admission routes1
Has abstractyes

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