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Record W7054618783

African Review of Economics and Finance

2019· article· en· W7054618783 on OpenAlexfundno aff

Bibliographic record

VenueCommunities in ADDI (University of the Basque Country) · 2019
Typearticle
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
FundersInternational Development Research CentreDepartment for International DevelopmentGovernment of the United Kingdom
KeywordsDeltaAgricultureWork (physics)Production (economics)Socioeconomic statusFishingGoods and servicesChina
DOInot available

Abstract

fetched live from OpenAlex

This paper provides insights into the current socioeconomic and biophysical state of the Volta Delta, Ghana. We employed non-survey methods, notably the Flegg Location Quotient (FLQ) method of regionalization and construction of tables to develop environmentally extended input-output (IO) model for comparing the economic characteristics of the Volta Delta and the rest of the country. The main sources of data for doing the regionalization were District Analytical Reports. Results from the study indicate that the agricultural sector, trade and transport activities are much predominant in the delta than in the non-delta region. However, employment in services of public administration, financial and insurance, construction and crop production is higher in the non-delta than in the delta region. From a gendered perspective, the embodied work of women in the delta is high in services and manufacturing sectors, but less predominant in agriculture and fishing (compared to the males’ participation). Overall, the delta is found to be a net importer (embodied in goods and services from other regions, higher than in exports) of all the economic metrics used in the study, including agricultural land use, employment, energy and CO2 emissions.

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 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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.782
Threshold uncertainty score0.189

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.009
GPT teacher head0.158
Teacher spread0.150 · 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 teacher head, 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
Published2019
Admission routes1
Has abstractyes

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