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Record W2285485270 · doi:10.5539/ijef.v8n3p232

International Financial Institutions and the Challenges of Global Business Ethics

2016· article· en· W2285485270 on OpenAlexvenueno aff
Henry Kerich

Bibliographic record

VenueInternational Journal of Economics and Finance · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsnot available
Fundersnot available
KeywordsBusiness ethicsAusteritySocial responsibilityCorporate social responsibilityEquity (law)EconomicsCriticismBusinessFinanceAccountingLawPolitical scienceManagement

Abstract

fetched live from OpenAlex

Business ethics are moral principles and doctrines that determine behavior in the business world. Although the purpose of every business is to earn profits, it also ought to pay a major role in society by ensuring fair practices. Instead of fairness and equality, greed has taken over the present business scenario leading to unethical business practices. World Bank and International Monetary Fund have been criticized for harsh imposition of austerity measures on member borrower countries. IMF programs are connected with adverse social action like reduced investment in public health and education in the recipient countries resulting in ethical violation and lack of corporate social responsibility to the communities served. A number of World Bank financed projects have social and environmental effects for the people in the affected areas resulting in ethical issues criticism. The IMF and World Bank have also been criticized for violation of ethical issues of equity and fair play.

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)0.018
metaresearch head score (Gemma)0.020
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.020
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0080.036
Scholarly communication0.0210.013
Open science0.0010.007
Research integrity0.0170.013
Insufficient payload (model declined to judge)0.0090.001

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 head0.050
GPT teacher head0.309
Teacher spread0.259 · 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
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
Published2016
Admission routes1
Has abstractyes

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