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Paper

Informing action for United Nations SDG target 8.7 and interdependent SDGs: Examining modern slavery from space

by Independent / Community 0013c5902026cc1db5fd839e44a023168137a7ce

Free2AITools Nexus Index

66.7

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 79

P: Popularity 54

R: Recency 100

Q: Quality 65

Tech Context

Vital Performance —

This article provides an example of the ways in which remote sensing, Earth observation, and machine learning can be deployed to provide the most up to date quantitative portrait of the South Asian ‘Brick Belt’, with a view to understanding the extent of the prevalence of modern slavery and exploitative labour. This analysis represents the first of its kind in estimating the spatiotemporal patterns in the Bull’s Trench Kilns across the Brick Belt, as well as its connections with various UN Su...

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Semantic Scholar 16 Citations

Paper Information Summary
Entity Passport
Registry ID	0013c5902026cc1db5fd839e44a023168137a7ce
License	ArXiv
Provider	semantic_scholar

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Cite this paper

Academic & Research Attribution

BibTeX

@misc{0013c5902026cc1db5fd839e44a023168137a7ce,
  author = {Unknown},
  title = {Informing action for United Nations SDG target 8.7 and interdependent SDGs: Examining modern slavery from space Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/0013c5902026cc1db5fd839e44a023168137a7ce}},
  note = {Accessed via Free2AITools.}
}

APA Style

Unknown. (2026). Informing action for United Nations SDG target 8.7 and interdependent SDGs: Examining modern slavery from space [Paper]. Free2AITools. https://api.semanticscholar.org/0013c5902026cc1db5fd839e44a023168137a7ce

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 79

Popularity (P) 54

Recency (R) 100

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Informing action for United Nations SDG target 8.7 and interdependent SDGs: Examining modern slavery from space: Authority (A:79), Popularity (P:54), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology

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📝 Executive Summary

"This article provides an example of the ways in which remote sensing, Earth observation, and machine learning can be deployed to provide the most up to date quantitative portrait of the South Asian ‘Brick Belt’, with a view to understanding the extent of the prevalence of modern slavery and exploitative labour. This analysis represents the first of its kind in estimating the spatiotemporal patterns in the Bull’s Trench Kilns across the Brick Belt, as well as its connections with various UN Su..."

❝ Cite Node

@article{Unknown2026Informing,
  title={Informing action for United Nations SDG target 8.7 and interdependent SDGs: Examining modern slavery from space},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

🔗 Full Paper

Free2AITools indexes the abstract and factual metadata for this paper. Read the complete, authoritative paper on the official source.

Read the full paper on arXiv

📊 Research Signals

📈16CitationsSemantic Scholar

🏛️79AuthorityFNI pillar

⏱️100RecencyFNI pillar

✅65QualityFNI pillar

🗂️automation workflowField

📦Data Source: semantic_scholar

🔄 Updated daily

Source summary: Based on semantic_scholar metadata. Not a recommendation.

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🛡️ Paper Transparency Report

Technical metadata sourced from upstream repositories.

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🆔 Identity & Source

source: semantic_scholar
author: Unknown
license: ArXiv
tags: paper, research, academic

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
pipeline tag

📊 Engagement & Metrics

downloads: 0
stars: null
forks: null
citations: 16

Data indexed from public sources. Updated daily.