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Feminist Approaches to Space Law and Governance

2025· book-chapter· en· W4415442862 on OpenAlexaff
Andrea J. Harrington, Valerie Oosterveld

Bibliographic record

VenueOxford University Press eBooks · 2025
Typebook-chapter
Languageen
FieldPhysics and Astronomy
TopicSpace exploration and regulation
Canadian institutionsWestern University
Fundersnot available
KeywordsSpace (punctuation)Space lawContext (archaeology)Subject (documents)Corporate governanceWork (physics)Order (exchange)

Abstract

fetched live from OpenAlex

Abstract This chapter provides an introduction to the role of gender as it relates to the subset of public international law governing outer space activities. It begins by explaining the context of the chapter’s feminist analysis of space law, explaining why such an approach is important for this Handbook. It then highlights the role of notable women in the development of space law in an effort to counterbalance the actual and perceived absence of women from this field. It also analyzes key provisions of space law contained in the foundational Outer Space Treaty through a gender-sensitive, feminist lens. In particular, this chapter considers the ‘province of all mankind’, ‘free for exploration and use’ and ‘not subject to national appropriation’, ‘peaceful purposes’ and ‘international cooperation’, and ‘due regard’. Finally, it concludes that, in order to achieve optimal solutions, more work is needed to raise awareness of gender issues hidden just beneath the surface of existing space law, and within emerging issues in space law and governance.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.010
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.019
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0100.001

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.

Opus teacher head0.040
GPT teacher head0.196
Teacher spread0.155 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2025
Admission routes1
Has abstractyes

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