{
  "id": "B_score",
  "version": "3.0.0",
  "label": "Hofstede 6-dimensional psycho-social basis",
  "dimensions": 6,
  "axes": [
    {
      "id": "e_PDI",
      "label": "Power Distance Index",
      "source": "hofstede",
      "domain": [0, 100],
      "interpretation_low": "Egalitarian, decentralised authority",
      "interpretation_high": "Hierarchical, centralised authority"
    },
    {
      "id": "e_IDV",
      "label": "Individualism vs Collectivism",
      "source": "hofstede",
      "domain": [0, 100],
      "interpretation_low": "Collectivist, in-group loyalty",
      "interpretation_high": "Individualist, self-reliance"
    },
    {
      "id": "e_MAS",
      "label": "Masculinity vs Femininity",
      "source": "hofstede",
      "domain": [0, 100],
      "interpretation_low": "Feminine: cooperation, modesty, caring",
      "interpretation_high": "Masculine: competition, achievement, assertiveness"
    },
    {
      "id": "e_UAI",
      "label": "Uncertainty Avoidance Index",
      "source": "hofstede",
      "domain": [0, 100],
      "interpretation_low": "Tolerant of ambiguity, flexible",
      "interpretation_high": "Avoidance of ambiguity, rules and structure"
    },
    {
      "id": "e_LTO",
      "label": "Long-Term Orientation",
      "source": "hofstede",
      "domain": [0, 100],
      "interpretation_low": "Short-term, traditional, normative",
      "interpretation_high": "Long-term, pragmatic, future-oriented"
    },
    {
      "id": "e_IVR",
      "label": "Indulgence vs Restraint",
      "source": "hofstede",
      "domain": [0, 100],
      "interpretation_low": "Restraint: controlled gratification, strict social norms",
      "interpretation_high": "Indulgence: free gratification, leisure-oriented"
    }
  ],
  "orthogonality": "postulated_orthogonal_not_empirically_verified",
  "orthogonality_note": "Hofstede dimensions are postulated independent by factorial construction (Hofstede 1980, 2010). The empirical orthogonality on contemporary values is NOT verified: MAS-IDV are correlated, UAI has low explained variance (cf. McSweeney 2002; doc 11 section A2). Use d_score_mahalanobis_intra for axis-weighted distance instead of assuming orthogonality.",
  "domain": [[0, 100], [0, 100], [0, 100], [0, 100], [0, 100], [0, 100]],
  "sources": ["hofstede_2010"]
}