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Record W3112135083 · doi:10.33225/pmc/20.15.76

MANAGEMENT IN A TIME OF RADICAL UNCERTAINTY

2020· article· en· W3112135083 on OpenAlexaboutno aff
Marc Jacquinet

Bibliographic record

VenueProblems of Management in the 21st Century · 2020
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Conflict Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTollQuarter (Canadian coin)Coronavirus disease 2019 (COVID-19)Development economicsWorld tradeHealthcare systemInternational tradeSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Middle EastPolitical scienceBusinessGeographyEconomic growthDiseaseEconomicsHealth careMedicineInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Societies are still, now, indubitably, in the middle of a major sanitary and health crisis, all over. If April 2020 was a time of local lockdown in Asia, Europe and the Americas, it is expanding globally, and countries that are unable or unwilling to manage the spread of the disease are putting their health system as well as their social and economic activities under pressure, without ignoring the heavy toll on human populations. The impact of the Sars-CoV-2 and the resulting disease for humans is already tremendous, above 3 percent of GDP for the first quarter of 2020 and above 15 or 20 percent for the whole current year. According to the World Trade Organization (WTO 2020) the decline of global trade is reckoned between 13 and 32 % (OECD 2020).

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 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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.885
Threshold uncertainty score0.496

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.053
GPT teacher head0.348
Teacher spread0.296 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations1
Published2020
Admission routes1
Has abstractyes

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