MétaCan
Menu
Back to cohort
Record W2137157836 · doi:10.1017/s1537592713000911

Afghanistan: What Went Wrong?

2013· article· en· W2137157836 on OpenAlexaff
Roland Paris

Bibliographic record

VenuePerspectives on Politics · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAfghanInsurgencyPolitical scienceLegitimacyPolitical economyGovernment (linguistics)PoliticsTerrorismDevelopment economicsDemocracyLawSociologyEconomics

Abstract

fetched live from OpenAlex

The US-led invasion of Afghanistan in October 2001, which deposed the Taliban regime, was followed by a major international effort to stabilize that country. More than a decade later, this effort has yielded neither security nor political stability in Afghanistan. After having been ousted from power, the Taliban reestablished itself in the borderlands of Pakistan and began fighting an effective guerrilla war against international and Afghan government forces. Despite heavy losses in recent years, the insurgency shows no sign of giving up. Meanwhile, attempts to establish a credible and legitimate Afghan government have been similarly disappointing. President Hamid Karzai, once hailed as the country's democratic savior, came to be seen instead as the leader of one of the most corrupt regimes on the planet, a perception that has damaged his government's legitimacy both at home and abroad. Afghanistan's development and human rights indicators have improved, but it remains to be seen if these gains can be sustained as the international effort is scaled back. Finally, although the United States and its partners succeeded in weakening Al Qaeda in the region, both Afghanistan and nuclear-armed Pakistan appear to have become considerably less stable over the course of the mission, with untold consequences for the future.

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)0.004
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0120.012
Scholarly communication0.0090.010
Open science0.0010.003
Research integrity0.0060.010
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.019
GPT teacher head0.303
Teacher spread0.284 · 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 designTheoretical or conceptual
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

Citations34
Published2013
Admission routes1
Has abstractyes

Explore more

Same venuePerspectives on PoliticsSame topicPolitics and Conflicts in Afghanistan, Pakistan, and Middle EastFrench-language works237,207