Striking an Interactive Balance Between Nature and Culture in Human Developmental Exploits for Sustainable Environmental Protection and Management
Bibliographic record
Abstract
BACKGROUND: The desacralization of nature, the resultant effect of which is evident in multiple environmental issues, has become a global concern. The subtle, yet insidious poisoning of the food-chain, the chemical burdening of the nature cycle, the increasing volume of air pollution, the greenhouse effect with the attendant global warming, climate change, flash floods, and so on, are the echoes of the murderous attacks on nature. At the centre of this destruction is the human species, whose unguarded actions against nature especially in his violent movements from the biosphere to the technosphere, stifles the ecosystemic homeostasis. Yet, development demands that man must necessarily move from nature to culture wherein the destruction of nature is inevitable. METHODOLOGY: The study used a qualitative design. The methods used were historical, descriptive, and critical. The historical method was used to trace the submissions of varied literatures on nature-culture relationships. RESULTS: Using the qualitative research design, thereby applying the historical, descriptive and evaluative methodological approaches, and reclining on the Risk Society Theory of Ulrich Beck as well as the Ecological Modernisation Theory of Arthur J.P Mol, we would like to establish that the attainment of sustainable environmental protection and management in the society would largely depend on the maintenance of a respectful balance between cultural superimpositions and natural landscapes in the contemporary society. RECOMMENDATION: It is recommended that all developmental projects must be subjected to, and pass through environmental protection and sustainability censorship and tests. This will help to create reasonable and reconciliatory boundaries between nature and culture for a balanced human environment.
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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 | 0.009 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.018 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".