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Record W2913292751 · doi:10.5539/jsd.v12n1p1

Impacts of Climate Variability on Salt Production in Ghana: Case of Songor Salt Project

2019· article· en· W2913292751 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 · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicSustainable Development and Environmental Policy
Canadian institutionsnot available
Fundersnot available
KeywordsClimate changeEnvironmental scienceSalt (chemistry)SustainabilityProduction (economics)ChemistryEconomicsEcologyBiology

Abstract

fetched live from OpenAlex

Climate change has been widely recognized as a multi-scalar economic and environmental problem that affects various sectors in the world today. The Songor salt project located in Ada East District of the Greater Accra region produces salt that feeds both the local and international markets with high-quality salt for consumption and industrial purposes. The industry is currently under threat due to several factors including climate change. This study was undertaken to ascertain the linkages and impacts of climate variability (temperature and rainfall) on the quantity of salt produced over the years. Salt yield levels were correlated with temperature and rainfall data between 1980-2010 for climate data and 1996-2014 for the salt production. In exploring the impacts of climate change on the salt production, a linear multiple regression model was employed in which salt production was regressed as dependable variable against temperature and rainfall as independent variables. The findings suggested that climate change and the quantity of salt produced are linked. Although the model results do not show statistical significant relationship, the results indicate that an increase in 1mm of rainfall will lead to an increase in 0.142 Mt of salt produced per year and vice versa whereas an increase in 1℃ will rather lead to a decrease in -0.488 Mt of salt produced per year and vice versa (R2 = 0.514; Coefficient of Determination= 51.4%; P > 0.05). We recommend that for medium to long-term sustainability of the salt industry, adoption and mainstreaming of the salt sector into the climate change adaptation strategy as part of the overall national adaptation policy is imperative. Also, investment in efficient technologies, infrastructure and storage facilities to produce and store the salt commodity to avoid production losses and leakages are also essential to buffer the impacts of climate change.

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)0.003
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
Threshold uncertainty score0.909

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.008
GPT teacher head0.241
Teacher spread0.233 · 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