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Record W4398954746 · doi:10.7910/dvn/tdek8o

Indian coal mine location and production - December 2020

2021· dataset· en· W4398954746 on OpenAlexaff
Sandeep Pai, Hisham Zerriffi, S Kaluarachchi

Bibliographic record

VenueHarvard Dataverse · 2021
Typedataset
Languageen
FieldEngineering
TopicMining Techniques and Economics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCoal miningMining engineeringProduction (economics)CoalGeologyGeographyEnvironmental scienceArchaeologyEconomics

Abstract

fetched live from OpenAlex

We obtained information on coal mines in India, their production, and location by filing applications under the Right to Information (RTI) Act, 2005 with leading coal companies such as Coal India Limited & its subsidiary companies, Singareni Collieries Company Limited and NLC Ltd. We also filed these applications with the Indian Coal Ministry and the Coal Controller Organization (India’s coal sector regulator). The RTI Act in India is the similar to Freedom of Information Act in many other countries. Most RTI replies were in PDF format with details of the mines. We individually entered the mine names and other details in excel to create the dataset. PDFs can be made available upon reasonable request and on a case by case basis as the PDFs contain "personal data" of the researcher. The geocoordinates were created by researchers using latitude/longitude data using published in various government documents or using GoogleMaps. Most of the coordinates are exact but some are approximate but within the same local region as the exact coordinates were not available.

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)0.001
metaresearch head score (Gemma)0.004
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: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.056
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.012
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0260.052

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 head0.011
GPT teacher head0.208
Teacher spread0.198 · 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
GenreDataset

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

Citations2
Published2021
Admission routes1
Has abstractyes

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