Landmines and international business community: a political ecology perspective
Bibliographic record
Abstract
Purpose The two decades of civil war have left Angola plagued with about ten millions landmines, causing destructions to human conditions and communities. Thus, the purpose of this paper is to create awareness of the landmine‐related problems among the business community and propose strategies to tackle them. Design/methodology/approach Using the theory of political ecology – an approach that represents an ever‐changing dynamic tension between ecology and human change, and between diverse communities within society – this paper analyzes the political environment that led to the plantation of landmines and examines how the collective action of governments, nongovernmental organizations and businesses communities can create awareness, rehabilitate victims and support new technologies. Findings The findings suggest the following strategies to business communities to alleviate the problem of landmines: create landmine awareness in society and the business community; provide economic assistance to landmine victims for rehabilitation; and donate landmine excavators. Practical implications The practical implications for managers are that they can implement the strategies to improve the prevailing human conditions of the communities in Angola. Originality/value This study originally contributes in that it highlights the problems associated with landmines and brings them to the attention of international business community and proposes a three‐pronged strategy to deal with them.
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How this classification was reachedexpand
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".