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Record W1975015065 · doi:10.1002/jid.751

Commentary on ‘The economics of landmine clearance: case study of Cambodia’

2001· article· en· W1975015065 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of International Development · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicGeology and Environmental Impact Studies
Canadian institutionsBusiness Development Bank of Canada
Fundersnot available
KeywordsYield (engineering)EconomicsValue (mathematics)Net present valuePresent valueAgricultural economicsMicroeconomicsFinanceProduction (economics)StatisticsMathematics

Abstract

fetched live from OpenAlex

Abstract A recent cost‐benefit analysis of landmine clearance in Cambodia (Harris, JID 12 (2), 2000) reported a net present value (NPV) of minus $3,434 million, and concluded landmine clearance using existing technologies is not economically justified for Cambodia. Professor Harris suggested higher returns would accrue to investments in de‐mining technology, while aid funds for landmine clearance should be reallocated to meet other development objectives. However, the methodology used massively overstates the present value of de‐mining costs while the estimated benefits are far too low. More fundamentally, the specification of the model makes it suitable only for an ‘all‐or‐nothing’ decision whether to rid Cambodia entirely of landmine contamination, and does not allow the analysis of targeted clearance of priority land. With appropriate adjustments, the economics of landmine clearance in Cambodia are not bleak, and may well yield positive rates of return in NPV terms. Copyright © 2001 John Wiley & Sons, Ltd.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.154
Threshold uncertainty score0.211

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.035
GPT teacher head0.308
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it