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Record W2941649738 · doi:10.29173/psur114

Multinational Corporations and Civil Society: A case study Comparison of H&M and Hoang Anh Gia Lai Group in Cambodia

2019· article· en· W2941649738 on OpenAlexvenueno aff
Solomon Kay-Reid

Bibliographic record

VenuePolitical Science Undergraduate Review · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCambodian History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsMultinational corporationCivil societyIndigenousContext (archaeology)Government (linguistics)Political scienceAuthoritarianismPolitical economyBusinessSociologyLawDemocracyGeographyPoliticsBiologyEcology

Abstract

fetched live from OpenAlex


 This paper examines the impact both positive, and negative of two multinational corporations (MNCs), H&M and Hoang Ahn Gia Lai Group both of whom operate extensively in Cambodia. It examines the important role domestic civil society plays in resisting the worst predatory tendencies in MNCs, and how the capacity to resist may be curbed by authoritarian regimes. Furthermore, the essay examines the role of international groups as well as consumer society on holding MNCs accountable for their actions. Particular attention is paid to the impact these multinational corporations have on women and indigenous communities, who are in the Cambodia context two of the most vulnerable groups in society. Moreover, it is suggested that while multinational corporations may ameliorate their practices in some areas, this often requires sustained pressure from a variety of actors, with this being especially true when governments cannot or are unwilling to regulate the behaviour of corporations. Lastly, it is suggested that civil society in the host state is the most important actor for bringing pressure to bear on MNCs, they must be supported by either international actors, or the domestic government to truly reign in the most predatory behaviour of MNCs.

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)0.003
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.591
Threshold uncertainty score0.888

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.060
GPT teacher head0.394
Teacher spread0.334 · 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 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

Citations1
Published2019
Admission routes1
Has abstractyes

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Same venuePolitical Science Undergraduate ReviewSame topicCambodian History and SocietyFrench-language works237,207