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Record W4231900667 · doi:10.1017/9781108896238.001

Introduction

2020· book-chapter· en· W4231900667 on OpenAlexaff

Bibliographic record

VenueCambridge University Press eBooks · 2020
Typebook-chapter
Languageen
FieldSocial Sciences
TopicPolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCriticismRadicalizationPolitical scienceDisinformationLawChristian ministryClubTerrorismHistoryCriminologySociologyMedicine

Abstract

fetched live from OpenAlex

On 16 March 2011, an unmanned drone killed around forty people in Datta Khel, a town in Pakistan’s rural region of North Waziristan. While initial reports claimed that the strike had been directed against a gathering of militants, it has since come to light that the meeting was in fact a tribal jirga , a traditional community gathering convened, in this case, to settle a dispute regarding ownership of a local chromite mine. Even assuming that members of the Taliban were present, as some accounts do seem to confirm, the bulk of those killed in the attack were tribal elders, many of whom had previously provided a bulwark against radicalization among their communities. Unlike most earlier drone attacks, the Datta Khel strike immediately attracted the strong criticism of Pakistan’s foreign ministry, who called it ‘a flagrant violation of all humanitarian rules and norms’. An unnamed US official dismissed the criticism, telling the Wall Street Journal , ‘These guys were terrorists, not the local men’s glee club.’

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.560
Threshold uncertainty score0.799

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.4400.243

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 head0.029
GPT teacher head0.227
Teacher spread0.198 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2020
Admission routes1
Has abstractyes

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