Development Of An Audit Protocol For The Investigation Of A Contaminated Site
Bibliographic record
Abstract
New and emerging policies around the globe aim to set standards for the protection of soil and groundwater. Soil and groundwater degradation is seen as the change required from the public, entrepreneurs and cultivators to take a serious view on the harm it is doing. Focus on protecting the soil and groundwater to meet the legislative requirements for the benefit of future generations. Issues on contaminated sites are reviewed and the shortfalls observed with the present regulatory standards for both national and international. To develop an audit protocol for the investigation of a contaminated site a review on specific standards and practices of Australia, Canada, United Kingdom and Germany on their existing audit protocol are assessed and lay emphasis on the gap and lacking elements. The proposed audit protocol was then develops and validated on a selected industrial premise by employing a due diligence approach which includes interview, site historical review, soil and groundwater sampling and analysis. The premise is located in the Prai Industrial Zone and used to be involved in the manufacturing of electronic products and assemblies. The due diligence audit was conducted to ensure that the premise is free from any environmental and regulatory non compliance, since there is a potential property transaction.
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 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 | 0.159 | 0.178 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.014 | 0.009 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".