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Record W3166332664

The Political Life of a Human Rights Impact Assessment: Canadian Mining in the Philippines

2018· article· en· W3166332664 on OpenAlexaffabout
Penelope C Sanz, Robin F. Hansen

Bibliographic record

VenueSSRN Electronic Journal · 2018
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsDue diligenceHuman rightsPoliticsScholarshipPolitical scienceEthnographyDimension (graph theory)Power (physics)Environmental ethicsLaw and economicsLawPolitical economySociologyAnthropology
DOInot available

Abstract

fetched live from OpenAlex

Impact assessments have a political dimension, as scholarship in this area explores. The political characteristics of one Human Rights Impact Assessment (HRIA) are examined in this article, using ethnographic analysis. The article examines the genesis, completion and outcomes of the HRIA of a Canadian mining investment in Zamboanga del Norte, in the Philippines. The mine operated from 1996 until 2014. The article analyzes the role that power and positionality play in constructing and producing this HRIA, and in shaping the events that followed its release. The article contends that understanding the political nature of a HRIA is an important part of understanding its potential to promote and protect human rights. The article briefly considers the political dimension of HRIAs that are undertaken to fulfill human rights due diligence requirements under the United Nations Guiding Principles on Business and Human Rights.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.747

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0220.009
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.264
Teacher spread0.256 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2018
Admission routes2
Has abstractyes

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