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assembly-economics/checkpoints/sources.json
tegwick c69b037f1b ASSEMBLY-WP-0010-T08: 22 verified full-checkpoint source specs; catalog access classes corrected 
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

Assistant: claude-code
Assistant-Model: opus
Assistant-Process: 14913@bnt-lap001
Assistant-Session: add7ef69-b901-4756-9a67-34cf1125d96f
2026-10-13 13:28:07 +02:00

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{
"note": "Machine-readable sources for checkpoint indicators (checkpoints/IndicatorCatalog.md). Fetched with web-fetcher. 'manual' = no machine-readable source yet; collected at reviews.",
"specs": [
{"id": "L1-US", "indicator": "L1", "kind": "light", "jurisdiction": "US", "label": "Firms using AI in any business function (last two weeks)", "adapter": "xlsx_wide", "url": "https://www.census.gov/hfp/btos/downloads/National.xlsx", "sheet": "Response Estimates", "filter": {"Question ID": "7", "Answer ID": "1"}, "unit": "% of employer firms", "source": "U.S. Census Bureau, Business Trends and Outlook Survey (BTOS)"},
{"id": "L1-US-next6m", "indicator": "L1", "kind": "light", "jurisdiction": "US", "label": "Firms expecting to use AI in the next six months", "adapter": "xlsx_wide", "url": "https://www.census.gov/hfp/btos/downloads/National.xlsx", "sheet": "Response Estimates", "filter": {"Question ID": "24", "Answer ID": "1"}, "unit": "% of employer firms", "source": "U.S. Census Bureau, Business Trends and Outlook Survey (BTOS)"},
{"id": "L2-EU-DE", "indicator": "L2", "kind": "light", "jurisdiction": "EU, DE", "label": "Enterprises (10+ employees) using at least one AI technology", "adapter": "eurostat", "dataset": "isoc_eb_ai", "filters": {"geo": ["EU27_2020", "DE"], "unit": "PC_ENT", "size_emp": "GE10", "indic_is": "E_AI_TANY"}, "split_by": ["geo"], "last": 1},
{"id": "L3-AR", "indicator": "L3", "kind": "light", "jurisdiction": "AR", "label": "AI use by firms or workers", "adapter": "manual", "source": "INDEC / national ICT surveys; OECD / IDB regional data"},
{"id": "L4", "indicator": "L4", "kind": "light", "jurisdiction": "global", "label": "AI task usage by occupation; automation vs. augmentation", "adapter": "manual", "source": "Anthropic Economic Index (dataset releases)"},
{"id": "L5-US", "indicator": "L5", "kind": "light", "jurisdiction": "US", "label": "Private fixed investment in information processing equipment (SAAR)", "adapter": "http_csv", "url": "https://fred.stlouisfed.org/graph/fredgraph.csv?id=Y033RC1Q027SBEA", "value_column": "Y033RC1Q027SBEA", "period_column": "observation_date", "unit": "billions of USD, SAAR", "source": "BEA via FRED (Y033RC1Q027SBEA)"},
{"id": "L6", "indicator": "L6", "kind": "light", "jurisdiction": "US, EU, AR", "label": "Public sentiment toward AI", "adapter": "manual", "source": "Pew Research; Eurobarometer; Edelman Trust Barometer; Latinobarómetro"},
{"id": "L7", "indicator": "L7", "kind": "light", "jurisdiction": "US, EU, AR", "label": "AI legislation milestones since last checkpoint", "adapter": "manual", "source": "official journals; legislative trackers"},
{"id": "H1-US", "indicator": "H1", "kind": "full", "jurisdiction": "US", "label": "Healthy life expectancy at birth (both sexes)", "adapter": "http_json", "url": "https://ghoapi.azureedge.net/api/WHOSIS_000002?$filter=SpatialDim%20eq%20'USA'%20and%20Dim1%20eq%20'SEX_BTSX'&$orderby=TimeDim%20desc&$top=1", "path": "value.0.NumericValue", "period_path": "value.0.TimeDim", "unit": "years", "source": "WHO Global Health Observatory (WHOSIS_000002)"},
{"id": "H1-DE", "indicator": "H1", "kind": "full", "jurisdiction": "DE", "label": "Healthy life expectancy at birth (both sexes)", "adapter": "http_json", "url": "https://ghoapi.azureedge.net/api/WHOSIS_000002?$filter=SpatialDim%20eq%20'DEU'%20and%20Dim1%20eq%20'SEX_BTSX'&$orderby=TimeDim%20desc&$top=1", "path": "value.0.NumericValue", "period_path": "value.0.TimeDim", "unit": "years", "source": "WHO Global Health Observatory (WHOSIS_000002)"},
{"id": "H1-AR", "indicator": "H1", "kind": "full", "jurisdiction": "AR", "label": "Healthy life expectancy at birth (both sexes)", "adapter": "http_json", "url": "https://ghoapi.azureedge.net/api/WHOSIS_000002?$filter=SpatialDim%20eq%20'ARG'%20and%20Dim1%20eq%20'SEX_BTSX'&$orderby=TimeDim%20desc&$top=1", "path": "value.0.NumericValue", "period_path": "value.0.TimeDim", "unit": "years", "source": "WHO Global Health Observatory (WHOSIS_000002)"},
{"id": "H3-US", "indicator": "H3", "kind": "full", "jurisdiction": "US", "label": "Public expenditure on education", "adapter": "http_json", "url": "https://api.worldbank.org/v2/country/USA/indicator/SE.XPD.TOTL.GD.ZS?format=json&mrnev=1", "path": "1.0.value", "period_path": "1.0.date", "unit": "% of GDP", "source": "World Bank WDI (SE.XPD.TOTL.GD.ZS)"},
{"id": "H3-DE", "indicator": "H3", "kind": "full", "jurisdiction": "DE", "label": "Public expenditure on education", "adapter": "http_json", "url": "https://api.worldbank.org/v2/country/DEU/indicator/SE.XPD.TOTL.GD.ZS?format=json&mrnev=1", "path": "1.0.value", "period_path": "1.0.date", "unit": "% of GDP", "source": "World Bank WDI (SE.XPD.TOTL.GD.ZS)"},
{"id": "H3-AR", "indicator": "H3", "kind": "full", "jurisdiction": "AR", "label": "Public expenditure on education", "adapter": "http_json", "url": "https://api.worldbank.org/v2/country/ARG/indicator/SE.XPD.TOTL.GD.ZS?format=json&mrnev=1", "path": "1.0.value", "period_path": "1.0.date", "unit": "% of GDP", "source": "World Bank WDI (SE.XPD.TOTL.GD.ZS)"},
{"id": "H4-EU-DE", "indicator": "H4", "kind": "full", "jurisdiction": "EU, DE", "label": "Adult participation in learning, last 4 weeks (25-64)", "adapter": "eurostat", "dataset": "trng_lfse_01", "filters": {"geo": ["EU27_2020", "DE"], "sex": "T", "age": "Y25-64", "unit": "PC"}, "split_by": ["geo"], "last": 1},
{"id": "K1-US", "indicator": "K1", "kind": "full", "jurisdiction": "US", "label": "Nonfarm business labour productivity (output per hour)", "adapter": "http_csv", "url": "https://fred.stlouisfed.org/graph/fredgraph.csv?id=OPHNFB", "value_column": "OPHNFB", "period_column": "observation_date", "unit": "index 2017=100", "source": "BLS via FRED (OPHNFB)"},
{"id": "K1-EU-DE", "indicator": "K1", "kind": "full", "jurisdiction": "EU, DE", "label": "Real labour productivity per hour worked, change on previous year", "adapter": "eurostat", "dataset": "nama_10_lp_ulc", "filters": {"geo": ["EU27_2020", "DE"], "na_item": "RLPR_HW", "unit": "PCH_PRE"}, "split_by": ["geo"], "last": 1},
{"id": "K1-AR", "indicator": "K1", "kind": "full", "jurisdiction": "AR", "label": "GDP per person employed (constant 2021 PPP $)", "adapter": "http_json", "url": "https://api.worldbank.org/v2/country/ARG/indicator/SL.GDP.PCAP.EM.KD?format=json&mrnev=1", "path": "1.0.value", "period_path": "1.0.date", "unit": "constant 2021 PPP $", "source": "World Bank WDI (SL.GDP.PCAP.EM.KD)"},
{"id": "F1-US", "indicator": "F1", "kind": "full", "jurisdiction": "US", "label": "Nonfarm business labour share", "adapter": "http_csv", "url": "https://fred.stlouisfed.org/graph/fredgraph.csv?id=PRS85006173", "value_column": "PRS85006173", "period_column": "observation_date", "unit": "index 2017=100", "source": "BLS via FRED (PRS85006173)"},
{"id": "F1-EU-DE", "indicator": "F1", "kind": "full", "jurisdiction": "EU, DE", "label": "Nominal unit labour cost per hour, change on previous year (labour-share proxy)", "adapter": "eurostat", "dataset": "nama_10_lp_ulc", "filters": {"geo": ["EU27_2020", "DE"], "na_item": "NULC_HW", "unit": "PCH_PRE"}, "split_by": ["geo"], "last": 1},
{"id": "F-R1-US", "indicator": "F-R1", "kind": "full", "jurisdiction": "US", "label": "High-propensity business applications (monthly, SA)", "adapter": "http_csv", "url": "https://fred.stlouisfed.org/graph/fredgraph.csv?id=BAHBATOTALSAUS", "value_column": "BAHBATOTALSAUS", "period_column": "observation_date", "unit": "applications, SA", "source": "Census Business Formation Statistics via FRED (BAHBATOTALSAUS)"},
{"id": "F-R2-EU-DE", "indicator": "F-R2", "kind": "full", "jurisdiction": "EU, DE", "label": "Business registrations and bankruptcy declarations (SCA)", "adapter": "eurostat", "dataset": "sts_rb_q", "filters": {"geo": ["EU27_2020", "DE"], "indic_bt": ["REG", "BKRT"], "nace_r2": "B-S_X_O_S94", "s_adj": "SCA", "unit": "I21"}, "split_by": ["geo", "indic_bt"], "last": 2},
{"id": "G4-US", "indicator": "G4", "kind": "full", "jurisdiction": "US", "label": "Quits rate, total nonfarm (voluntary job switching)", "adapter": "http_csv", "url": "https://fred.stlouisfed.org/graph/fredgraph.csv?id=JTSQUR", "value_column": "JTSQUR", "period_column": "observation_date", "unit": "% of employment", "source": "BLS JOLTS via FRED (JTSQUR)"},
{"id": "X2-AR-oa", "indicator": "X2", "kind": "full", "jurisdiction": "AR", "label": "Open-access works with an Argentine institution, publication year 2025", "adapter": "http_json", "url": "https://api.openalex.org/works?filter=institutions.country_code:AR,publication_year:2025,is_oa:true&per-page=1", "path": "meta.count", "unit": "works", "source": "OpenAlex", "note": "Publication year is fixed in the URL; move it to the last complete year at each annual review. Share = oa / all."},
{"id": "X2-AR-all", "indicator": "X2", "kind": "full", "jurisdiction": "AR", "label": "All works with an Argentine institution, publication year 2025", "adapter": "http_json", "url": "https://api.openalex.org/works?filter=institutions.country_code:AR,publication_year:2025&per-page=1", "path": "meta.count", "unit": "works", "source": "OpenAlex", "note": "Publication year is fixed in the URL; move it to the last complete year at each annual review. Share = oa / all."},
{"id": "E1-US", "indicator": "E1", "kind": "full", "jurisdiction": "US", "label": "CO2 emissions excluding LULUCF", "adapter": "http_json", "url": "https://api.worldbank.org/v2/country/USA/indicator/EN.GHG.CO2.MT.CE.AR5?format=json&mrnev=1", "path": "1.0.value", "period_path": "1.0.date", "unit": "Mt CO2e", "source": "World Bank WDI (EN.GHG.CO2.MT.CE.AR5)"},
{"id": "E1-DE", "indicator": "E1", "kind": "full", "jurisdiction": "DE", "label": "CO2 emissions excluding LULUCF", "adapter": "http_json", "url": "https://api.worldbank.org/v2/country/DEU/indicator/EN.GHG.CO2.MT.CE.AR5?format=json&mrnev=1", "path": "1.0.value", "period_path": "1.0.date", "unit": "Mt CO2e", "source": "World Bank WDI (EN.GHG.CO2.MT.CE.AR5)"},
{"id": "E1-AR", "indicator": "E1", "kind": "full", "jurisdiction": "AR", "label": "CO2 emissions excluding LULUCF", "adapter": "http_json", "url": "https://api.worldbank.org/v2/country/ARG/indicator/EN.GHG.CO2.MT.CE.AR5?format=json&mrnev=1", "path": "1.0.value", "period_path": "1.0.date", "unit": "Mt CO2e", "source": "World Bank WDI (EN.GHG.CO2.MT.CE.AR5)"},
{"id": "E2-EU-DE", "indicator": "E2", "kind": "full", "jurisdiction": "EU, DE", "label": "Domestic material consumption per capita", "adapter": "eurostat", "dataset": "env_ac_mfa", "filters": {"geo": ["EU27_2020", "DE"], "material": "TOTAL", "indic_env": "DMC", "unit": "T_HAB"}, "split_by": ["geo"], "last": 1},
{"id": "E4-EU-DE", "indicator": "E4", "kind": "full", "jurisdiction": "EU, DE", "label": "Circular material use rate", "adapter": "eurostat", "dataset": "env_ac_cur", "filters": {"geo": ["EU27_2020", "DE"], "unit": "PC"}, "split_by": ["geo"], "last": 1}
]
}
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