MétaCan
Menu
Back to cohort
Record W2625935940 · doi:10.1017/cyl.2016.4

Evolution or Revolution? Evaluating the Territorial State-Based Regime of International Law in the Context of the Physical Disappearance of Territory Due to Climate Change and Sea-Level Rise

2016· article· en· W2625935940 on OpenAlexvenueno aff
Catherine Blanchard

Bibliographic record

VenueCanadian Yearbook of international Law/Annuaire canadien de droit international · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change, Adaptation, Migration
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)RealmState (computer science)ScholarshipPolitical scienceGlobalizationPolitical economyInternational lawClimate changeLawSociologyGeography

Abstract

fetched live from OpenAlex

Abstract The threat of the permanent physical disappearance of the territory of states no longer belongs to the mythical realm, and the situation is particularly imminent for small island developing states. While most international legal scholarship has so far focused on issues stemming from territorial disappearance, this article goes one step further. It questions the appropriateness of the classical notion of the territorial state — a socio-cultural and politico-legal entity evolving on a defined territorial area — as the basis for an international legal system faced with new realities created by climate change, sea-level rise, and globalization. After examining the current rules on statehood within the context of the physical disappearance of states’ territories and looking into the solutions suggested in the legal literature to address territorial loss, this article assesses a new way of understanding statehood by exploring theoretical lenses through which a new model of statehood could be contemplated.

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)0.010
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.037
Scholarly communication0.0130.007
Open science0.0010.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.054
GPT teacher head0.307
Teacher spread0.253 · 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 designTheoretical or conceptual
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

Citations6
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Yearbook of international Law/Annuaire canadien de droit internationalSame topicClimate Change, Adaptation, MigrationFrench-language works237,207