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Record W2038659725 · doi:10.5539/jsd.v4n1p193

Effects of Sand/Gravel Mining in Minna Emirate Area of Nigeria on Stakeholders

2011· article· en· W2038659725 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Sustainable Development · 2011
Typearticle
Languageen
FieldEngineering
TopicMining Techniques and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsPluckingRevenueBusinessProfit (economics)StakeholderWork (physics)Government (linguistics)Local governmentSand miningCommodityFinanceEconomicsGeographyEngineeringArchaeologyManagement

Abstract

fetched live from OpenAlex

The paper examined sand and gravel mining activities both on land and the rivers as a business venture in Minna emirate council of Niger state, Nigeria. It identified various stakeholders in this business as: the landlords of the quarries, the local government authorities and the miners among others. It further looked at what each stakeholder stands to gain or lose in the business. Quantitative data were collected on the direct financial benefits from the quarrying work and the analysis of these data, using percentages, showed that while the quarry owner and the local government put together earn less than 8 percent of the total profit accruing from the business, the miner ferries away over 92 percent of the accrued revenue. It was recommended that repairs should be made to the exploited mines and that government agents in charge of the quarries should be more responsive to the movements in the market prices of the commodity.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.794
Threshold uncertainty score0.519

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.201
Teacher spread0.168 · 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