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Record W4394828700 · doi:10.2139/ssrn.4779802

The Ingenuity of Biosphere Citizens in Light of International Interactions a Boon for Environmental Peace and Security Diplomacy

2024· article· en· W4394828700 on OpenAlexaff
Sobhan Tayebi

Bibliographic record

VenueSSRN Electronic Journal · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicEarth Systems and Cosmic Evolution
Canadian institutionsnot available
Fundersnot available
KeywordsIngenuityDiplomacyBiospherePolitical scienceEnvironmental securityEnvironmental ethicsEnvironmental planningPublic administrationLawEnvironmental scienceEcologyPhilosophyBiologyPoliticsEpistemology

Abstract

fetched live from OpenAlex

The foundation of life on Earth today is the pervasive understanding of global citizens about environmental conservation within the framework of formal and informal discourses. In this process, constructive interactions between governments, nations, and international organizations contribute to the identity of international law subjects regarding environmental protection and support becoming more evident. This process can be realized based on the principle of awareness and information dissemination, the principle of transparency, and the principle of participation. This research aims to emphasize the consolidation of the global community’s attitude towards peace-making and environmental security. The present research, which is based on library studies, seeks to answer the question of how much the ingenuity of Earth’s inhabitants in protecting the environment depends on international interactions. The findings of the authors show that the preservation of the ecosystem is only possible through international cooperation and interactions, and this path requires strengthening treaty-based mechanisms and tools. Therefore, it seems that a high percentage of the ingenuity of citizens in protecting the inhabited Earth depends on factors such as the realization of treaty-based principles including the principle of participation, the principle of awareness and the principle of notification, and the realization of effective non-treaty-based tools such as crowd-sourcing and peace-making.

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)0.003
metaresearch head score (Gemma)0.007
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: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.011
Scholarly communication0.0110.007
Open science0.0000.004
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0150.001

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 head0.004
GPT teacher head0.219
Teacher spread0.215 · 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
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
Published2024
Admission routes1
Has abstractno

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