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Record W1177933709 · doi:10.18331/sfs2014.1.1.2

Study of fish exploitation pattern of lake Gerio, Yola, Adamawa State, Nigeria

2014· article· en· W1177933709 on OpenAlexvenueno aff
T. Ekundayo, O. A. Sogbesan, A. B. Haruna

Bibliographic record

VenueJournal of Survey in Fisheries Sciences · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Ecosystems and Biodiversity
Canadian institutionsnot available
Fundersnot available
KeywordsFish <Actinopterygii>FisheryState (computer science)GeographyBiologyMathematics

Abstract

fetched live from OpenAlex

An investigation was carried out on Lake Geriyo in the month of April to know the pattern of fish exploitation. The fish species sampled were mainly by using canoes as they were landed at the landing site of the lake. A total of fourteen (14) species of thirteen (13) families were discovered during the period. The total numbers of species were 1140 species and the corresponding total weights were 198 kg. The number of each species was determined by counting and the species were grouped into families. The weight of different species was also determined using the weighing balance. The number of fishermen during the period was 79 and the total numbers of canoes were 54. In the course of the study, it was discovered that the nets used by the fishermen were mostly unregulated mesh sized less than 2 inches. Most of the fish caught were undersized ranging from 0.06kg to 0.78kg. This is an evidence of overfishing. Therefore a proper management measure has to be put in place at the lake by the authority concerned. The total weight and total number of fish species encountered shows that there is fish stock depletion of the lake. The exploitation pattern at the lake Geriyo is seasonal.

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)0.004
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 score0.139
Threshold uncertainty score0.906

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.100
GPT teacher head0.243
Teacher spread0.143 · 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 designObservational
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

Citations6
Published2014
Admission routes1
Has abstractyes

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