Bibliographic record
Abstract
The shoreline of Nigeria was divided into five distinct regions based on coastal geomorphology and sedimentological parameters. During a 4-year period (1982 through 1985), 60 beach profile stations were established and monitored, covering the entire country's shoreline. Data gathered at these field stations were complemented with extensive aerial overflights conducted off the coastline during all phases of the study. The purpose of the study was to define the detailed sedimentological and morphological aspects of the Nigerian coastline from field data. The morphological regions defined along the Nigerian coast from west to east are: (1) barrier-lagoon coast, (2) transgressive mud coast, (3) delta flanks, (4) arcuate delta, and (5) strand coast. These shoreline segments exhibit distinct beach/inlet morphologies and sediment characteristics in response to their available sediment sources and to the hydrodynamic process active along each segment. Sediments on the beaches range from silt and clay (transgressive mud coast) to medium-grained sand (barrier-lagoon coast) with beach slopes ranging from 1:90 to 1:6, respectively. The coastal sediments are composed mostly of well-sorted, fine- to medium-grained, quartz-rich sand. Coastal vegetation is highly variable with over 40 different coastal plant species identified, with the greatest diversity of species occurring within the Niger Delta region.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.007 | 0.003 |
| Insufficient payload (model declined to judge) | 0.986 | 0.990 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".