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Record W2767635853 · doi:10.18733/c39h4j

CPI Welcomes Carol Lee's Special Issue

2017· article· en· W2767635853 on OpenAlexaffvenue
Ali A. Abdi

Bibliographic record

VenueCultural and Pedagogical Inquiry · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicDisaster Management and Resilience
Canadian institutionsUniversity of CalgaryUniversity of British Columbia
Fundersnot available
KeywordsPersecutionTollNatural disasterCLARITYNatural (archaeology)Death tollHistoryPoetryGeographyPolitical scienceCartographyDevelopment economicsLawSociologyArchaeologyArtLiteratureEconomicsDemographyMeteorology

Abstract

fetched live from OpenAlex

CPI Welcomes Carol Lee’s Illustrated Anthology of Poetry:No ReturnCarol Lee’s Special Issue is well timed given the magnitude of the recent natural disasters experienced in several tropical and subtropical parts of North America, as well as in south Asia, and the toll on human lives as millions are forced to relocate or flee their homes and seek asylum elsewhere because of wars, persecution, and discrimination. With clarity and precision, Lee’s Special Issue, unapologetically specifically questions, responses by leaders and citizens in northern nation-states to impacts of man-made and natural disasters and tragedies, especially in the south.

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)0.002
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.219
Threshold uncertainty score0.731

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0060.001
Scholarly communication0.0100.005
Open science0.0020.005
Research integrity0.0050.012
Insufficient payload (model declined to judge)0.2190.107

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 head0.586
GPT teacher head0.509
Teacher spread0.077 · 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 designNot applicable
Domainnot available
GenreEditorial

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
Published2017
Admission routes2
Has abstractyes

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