label_dicts.py

CAP_NUM_DICT = {
    0: 1,
    1: 2,
    2: 3,
    3: 4,
    4: 5,
    5: 6,
    6: 7,
    7: 8,
    8: 9,
    9: 10,
    10: 12,
    11: 13,
    12: 14,
    13: 15,
    14: 16,
    15: 17,
    16: 18,
    17: 19,
    18: 20,
    19: 21,
    20: 23,
    21: 999,
    22: 999, # had to do this because of some language-domain models (e.g. english media)
}

CAP_LABEL_NAMES = {
    1: "Macroeconomics",
    2: "Civil Rights",
    3: "Health",
    4: "Agriculture",
    5: "Labor",
    6: "Education",
    7: "Environment",
    8: "Energy",
    9: "Immigration",
    10: "Transportation",
    12: "Law and Crime",
    13: "Social Welfare",
    14: "Housing",
    15: "Domestic Commerce",
    16: "Defense",
    17: "Technology",
    18: "Foreign Trade",
    19: "International Affairs",
    20: "Government Operations",
    21: "Public Lands",
    23: "Culture",
    999: "No Policy Content"
}

MANIFESTO_LABEL_NAMES = {
    0: "No Policy Goal",
    999: "No Policy Goal",
    101: "Foreign Special Relationships: Positive",
    102: "Foreign Special Relationships: Negative",
    103: "Anti-Imperialism",
    104: "Military: Positive",
    105: "Military: Negative",
    106: "Peace",
    107: "Internationalism: Positive",
    108: "European Community/Union: Positive",
    109: "Internationalism: Negative",
    110: "European Community/Union: Negative",
    201: "Freedom and Human Rights",
    202: "Democracy",
    203: "Constitutionalism: Positive",
    204: "Constitutionalism: Negative",
    301: "Federalism",
    302: "Centralisation",
    303: "Governmental and Administrative Efficiency",
    304: "Political Corruption",
    305: "Political Authority",
    401: "Free Market Economy",
    402: "Incentives",
    403: "Market Regulation",
    404: "Economic Planning",
    405: "Corporatism/Mixed Economy",
    406: "Protectionism: Positive",
    407: "Protectionism: Negative",
    408: "Economic Goals",
    409: "Keynesian Demand Management",
    410: "Economic Growth: Positive",
    411: "Technology and Infrastructure",
    412: "Controlled Economy",
    413: "Nationalisation",
    414: "Economic Orthodoxy",
    415: "Marxist Analysis: Positive",
    416: "Anti-Growth Economy: Positive",
    501: "Environmental Protection: Positive",
    502: "Culture: Positive",
    503: "Equality: Positive",
    504: "Welfare State Expansion",
    505: "Welfare State Limitation",
    506: "Education Expansion",
    507: "Education Limitation",
    601: "National Way of Life: Positive",
    602: "National Way of Life: Negative",
    603: "Traditional Morality: Positive",
    604: "Traditional Morality: Negative",
    605: "Law and Order: Positive",
    606: "Civic Mindedness: Positive",
    607: "Multiculturalism: Positive",
    608: "Multiculturalism: Negative",
    701: "Labour Groups: Positive",
    702: "Labour Groups: Negative",
    703: "Agriculture and Farmers: Positive",
    704: "Middle Class and Professional Groups",
    705: "Underprivileged Minority Groups",
    706: "Non-economic Demographic Groups"
}

ILLFRAMES_MIGRATION_LABEL_NAMES = {
    901: "Culture Under Attack",
    902: "Economic Burden",
    903: "Illegals and Fraudsters",
    904: "Extradition Necessity",
    905: "Nation tate Should Decide",
    906: "Administrative Burden",
    907: "General System Failure",
    908: "Security Threat",
    909: "Criminals",
    910: "Welfare State Overload",
    999: "None of Them",
}

ILLFRAMES_COVID_LABEL_NAMES = {
    310: "Skepticism",
    311: "Great Reset and Elite Control",
    312: "Undermining the Economy",
    313: "Medical Choice",
    314: "Media Fabrication",
    315: "Threatening Way of Life",
    399: "None of Them",
}

ILLFRAMES_WAR_LABEL_NAMES = [
        ("conflict as defense", 101),
        ("economic impact", 102),
        ("threat of the west", 103),
        ("puppet state", 104),
        ("global war", 105),
        ("war crimes", 107),
        ("broken promises", 108),
        ("supporting nazi views", 109),
        ("none of them", 105),
    ]

ONTOLISST_LABEL_NAMES = {
    0: 'Demographics',
    1: 'Housing and local environment (Housing and environment)',
    2: 'Physical health',
    3: 'Mental health and mental processes',
    4: 'Healthcare',
    5: 'Health behaviour (Health and lifestyle)',
    6: 'Family and social networks',
    7: 'Education',
    8: 'Employment and income (Employment and pensions)',
    9: 'Expectation, attitudes and beliefs (Attitudes and beliefs)',
    10: 'Child development',
    11: 'Life events',
    12: 'Omics',
    13: 'Pregnancy',
    14: 'Administration',
    15: 'COVID19'
}
EMOTION9_LABEL_NAMES = {
    0: "Anger",
    1: "Fear",
    2: "Disgust",
    3: "Sadness",
    4: "Joy",
    5: "Enthusiasm",
    6: "Hope",
    7: "Pride",
    8: "None of Them",
}