The implications of covid-19 on the shipping/oil tanker market.
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.
Bibliographic record
Abstract
Purpose: This aims at analyzing the implications of covid-19 on the shipping/oil tanker market.
 Methodology: In order to attain the aim of this study, findings and data are curated from existing literatures, documents, policies, etc. This implies that desk review is the methodology applied in this study where the researcher made use of secondary sources of data as against primary source of data.
 Findings: In the study, it was found that covid-19 brought about a shortage in the rate of demands for good thereby causing an unbalance in the rate of supply over demand at a time which directly brought about a huge decline in shipping/oil tanker transportation. The study also found that irrespective of the huge decline in the rate of shipping/oil tanker transportation brought about by low demand in comparison with supply; shipping/oil tanker was patronized by dealers for the purpose of storage of products. Also, the study found that seaborne trade fell downward from above 3% to below a negative 8% and at a bdp rate of 100m, the demand was 3% higher than the global supply which in 2019 was at about 97%. However, in the second quarter of 2020 the supply leads demand at over 28M bdp and a 13% increase in the demand year-on-year when compared to a fall of 3.9% in the supply year-on-year.
 Recommendation: The study recommends that appropriate forecasting methods and proper liaison with global health will aid in averting or ameliorating the risks and negative impacts brought on shipping/oil tanker market by covid-19.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it