{"meta":{"query_hash":"8c5f61066058","filters":{"venue":"Research in Globalization"},"cohort_total":6,"direct_labels_cover":0,"predictions_cover":6,"exported":6,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/8c5f61066058","api":"https://metacan.xera.ac/api/v1/cohort?venue=Research+in+Globalization"},"results":[{"id":"W3216111919","doi":"10.1016/j.resglo.2021.100074","title":"Challenges faced by Chinese firms implementing the ‘Belt and Road Initiative’: Evidence from three railway projects","year":2021,"lang":"en","type":"article","venue":"Research in Globalization","topic":"International Development and Aid","field":"Social Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Chongqing University","keywords":"Harmonization; China; Business; Investment (military); Corporate governance; Sustainable development; Politics; Economic growth; Finance; Political science; Economics","score_opus":0.2337535024230519,"score_gpt":0.4629509850332074,"score_spread":0.22919748261015552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216111919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99765354,0.00013442765,0.000033314358,0.00033998408,0.0000029104044,0.000025359508,0.000027445281,0.0000015104221,0.0017815065],"genre_scores_gemma":[0.9984952,0.0003933188,0.00007683785,0.00016030719,0.0000033032218,0.000030570867,0.00006276672,0.0000017895602,0.0007757862],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99583614,0.0014038455,0.0002512103,0.00028233128,0.0009765245,0.0012499787],"domain_scores_gemma":[0.9906313,0.0023756041,0.003299296,0.00056071824,0.0015644401,0.0015687206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060165823,0.00036794823,0.00032982335,0.0013589044,0.0046742694,0.004014022,0.0011684312,0.0014556055,0.0022350193],"category_scores_gemma":[0.008616677,0.00037431947,0.00039272575,0.0029052126,0.0031626176,0.0024425848,0.003802299,0.0012529346,0.00033029314],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023284851,0.00078501063,0.7365733,0.0005228695,0.00010817727,0.0039001915,0.20234826,0.0005321479,0.0012586622,0.0042632977,0.0028401054,0.04663513],"study_design_scores_gemma":[0.000028645694,0.00035624907,0.5743985,0.00030044702,0.00008032528,0.00023303683,0.41312325,0.0004178692,0.0007139126,0.00034985706,0.0099397935,0.000058134436],"about_ca_topic_score_codex":0.10900604,"about_ca_topic_score_gemma":0.18604353,"teacher_disagreement_score":0.10900604,"about_ca_system_score_codex":0.0063265655,"about_ca_system_score_gemma":0.0118604945,"threshold_uncertainty_score":0.21674311},"labels":[],"label_agreement":null},{"id":"W4200271168","doi":"10.1016/j.resglo.2021.100077","title":"Does ridesharing affect road safety? the introduction of Moto-Uber and other factors in the Dominican Republic","year":2021,"lang":"en","type":"article","venue":"Research in Globalization","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Public Health Ontario; University of Toronto; McGill University Health Centre; Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Social Sciences and Humanities Research Council of Canada","keywords":"Affect (linguistics); Transport engineering; Psychology; Engineering","score_opus":0.04444851853249384,"score_gpt":0.34459406307431956,"score_spread":0.30014554454182574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200271168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99596715,0.0011680458,0.000044408833,0.0009886513,0.00001545764,0.000011021904,0.00039655858,0.000004203583,0.0014046049],"genre_scores_gemma":[0.99891317,0.00044570933,0.00002915893,0.00012034605,0.000013525677,0.0000051144457,0.00016799949,0.0000023181583,0.00030261313],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999521,0.0001511745,0.000034655033,0.00008839553,0.000056695524,0.00014805005],"domain_scores_gemma":[0.9987871,0.00017558134,0.0006941853,0.000058174224,0.0001071871,0.00017790889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005210042,0.00021259728,0.00020406437,0.0007073396,0.00044027754,0.0011153824,0.0004035575,0.0004020057,0.0018103437],"category_scores_gemma":[0.0022651055,0.00013326654,0.00039334584,0.0010535406,0.0006618655,0.000500619,0.00059563323,0.00062119414,0.00009189736],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004843047,0.000052194613,0.9942854,0.000037296046,0.00007398531,0.00017860833,0.00057004014,0.00015987566,0.00024263712,0.00012013837,0.00037135463,0.0038600946],"study_design_scores_gemma":[0.0000017830928,0.000013403227,0.99814355,0.000022892908,0.000016400269,0.000029244366,0.0009309919,0.00007728413,0.00002770161,0.000017418846,0.0007169169,0.0000024300205],"about_ca_topic_score_codex":0.1964616,"about_ca_topic_score_gemma":0.20506486,"teacher_disagreement_score":0.1964616,"about_ca_system_score_codex":0.0018893867,"about_ca_system_score_gemma":0.001202795,"threshold_uncertainty_score":0.39063615},"labels":[],"label_agreement":null},{"id":"W4296342731","doi":"10.1016/j.resglo.2022.100094","title":"Diaspora investments in low & high interest rate environments","year":2022,"lang":"en","type":"article","venue":"Research in Globalization","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diaspora; Interest rate; Distributed lag; Cointegration; Investment (military); Economics; Foreign direct investment; Monetary economics; International economics; Macroeconomics; Business; Political science; Econometrics","score_opus":0.21052608094099862,"score_gpt":0.30999756821921826,"score_spread":0.09947148727821964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296342731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932653,0.00008685541,0.00022439659,0.00010986403,0.0000033580961,0.000005140139,0.00008002617,0.0000028279705,0.006222212],"genre_scores_gemma":[0.9995307,0.000055622593,0.00006414698,0.000009572335,0.000002241571,0.0000018722437,0.000039662762,5.934533e-7,0.00029558706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995427,0.00016336056,0.00003065639,0.000049507562,0.00005405978,0.00015969537],"domain_scores_gemma":[0.9976248,0.00045062904,0.0011882088,0.00012098204,0.0001429582,0.0004724516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062905764,0.000118773925,0.0001738628,0.00039117213,0.0004784295,0.0016982534,0.00012350935,0.00016792232,0.0020943645],"category_scores_gemma":[0.0023060904,0.000068452755,0.00010614458,0.0006416634,0.0005002913,0.00058878015,0.001014136,0.0004258805,0.00019925588],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027261398,0.00025253795,0.94138795,0.000069929316,0.00008235115,0.0007648478,0.0023045612,0.0012421467,0.0017280574,0.023099346,0.00071625924,0.028079277],"study_design_scores_gemma":[0.000019533747,0.00016345613,0.97275645,0.000071648195,0.000076084434,0.0003940358,0.009234493,0.0026517245,0.0021055401,0.006449153,0.0060568503,0.00002096079],"about_ca_topic_score_codex":0.0029375735,"about_ca_topic_score_gemma":0.005860672,"teacher_disagreement_score":0.0029375735,"about_ca_system_score_codex":0.0005113327,"about_ca_system_score_gemma":0.00040846717,"threshold_uncertainty_score":0.007006347},"labels":[],"label_agreement":null},{"id":"W4389869726","doi":"10.1016/j.resglo.2023.100189","title":"Global liquidity and commodity prices uncertainty using SFAVEC model","year":2023,"lang":"en","type":"article","venue":"Research in Globalization","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Commodity; Economics; Monetary economics; Financial economics; Econometrics; Business; Finance","score_opus":0.20536778547807008,"score_gpt":0.3873964280716263,"score_spread":0.1820286425935562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389869726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8013208,0.0040647895,0.143386,0.0064494177,0.00033183044,0.0002139359,0.0055745267,0.00064982503,0.038008884],"genre_scores_gemma":[0.98388517,0.0012909061,0.0045301006,0.00014064272,0.00012006187,0.000091151516,0.0013113181,0.000034237215,0.008596362],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993462,0.0002235456,0.000034648307,0.00013916605,0.00010225648,0.00015415918],"domain_scores_gemma":[0.9978891,0.0011379834,0.0005094558,0.00009264899,0.00026667226,0.000104018756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014306027,0.00077577756,0.001105494,0.0014645333,0.00068395946,0.0033175224,0.0013662591,0.0019526324,0.006143543],"category_scores_gemma":[0.005157854,0.00036255983,0.0014270445,0.002039413,0.0009333023,0.0022017467,0.0015472105,0.002081969,0.0005889264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001507986,0.00010651603,0.03310258,0.000105893036,0.00021866431,0.00084977935,0.00022506992,0.85597694,0.0004484322,0.09263494,0.0037165505,0.012463842],"study_design_scores_gemma":[0.00004243572,0.000060427086,0.0042847977,0.000025912843,0.0000886326,0.00008850262,0.00011917928,0.96883416,0.00014627031,0.023810353,0.002455531,0.00004379088],"about_ca_topic_score_codex":0.03997244,"about_ca_topic_score_gemma":0.014261064,"teacher_disagreement_score":0.03997244,"about_ca_system_score_codex":0.0013842732,"about_ca_system_score_gemma":0.0015024223,"threshold_uncertainty_score":0.079479516},"labels":[],"label_agreement":null},{"id":"W4399206058","doi":"10.1016/j.resglo.2024.100230","title":"Assessment of the socioeconomic impact of COVID-19 in Rwanda: Findings from a country-wide community survey, preliminary analysis to inform further global research","year":2024,"lang":"en","type":"article","venue":"Research in Globalization","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Rwanda Biomedical Centre; Universiteit Gent; Consejo Nacional de Ciencia y Tecnología; International Development Research Centre; National Commission for Science and Technology; University of Rwanda; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Socioeconomic status; Marital status; Logistic regression; Pandemic; Residence; Population; Socioeconomics; Household income; Demography; Geography; Survey data collection; Environmental health; Medicine; Coronavirus disease 2019 (COVID-19); Economics; Sociology","score_opus":0.40980995642837825,"score_gpt":0.5915247271521423,"score_spread":0.18171477072376407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399206058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982681,0.00015268991,0.00010832273,0.000090774825,0.000003937633,0.000059209982,0.0006207775,0.0000016987603,0.000694388],"genre_scores_gemma":[0.99833447,0.00040496906,0.00035923073,0.000033838125,0.000005683926,0.00009835391,0.0005254098,0.0000014240065,0.00023656354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992574,0.00039382817,0.000074227195,0.000057898458,0.00009040865,0.00012621631],"domain_scores_gemma":[0.9988986,0.00026300456,0.00041975416,0.0000711898,0.00022582727,0.000121609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015682552,0.0002645421,0.00022325986,0.0012261529,0.00045825526,0.0005299819,0.00023898017,0.00021858817,0.0012105008],"category_scores_gemma":[0.003180873,0.00022663936,0.0003699758,0.001514544,0.00033334075,0.00054077955,0.0009174319,0.000449783,0.00022820404],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003569165,0.00005916148,0.9897892,0.00010750648,0.00003276565,0.0001464533,0.0025505433,0.000048015583,0.0004345426,0.00005105406,0.00029513647,0.0064499583],"study_design_scores_gemma":[0.000002092932,0.00010655381,0.99321556,0.000056896213,0.000019225019,0.00010490775,0.0058659874,0.00009509703,0.00006644239,0.000014276416,0.00044832902,0.0000045806482],"about_ca_topic_score_codex":0.011937622,"about_ca_topic_score_gemma":0.025690937,"teacher_disagreement_score":0.011937622,"about_ca_system_score_codex":0.00044270838,"about_ca_system_score_gemma":0.00062773016,"threshold_uncertainty_score":0.023736238},"labels":[],"label_agreement":null},{"id":"W4406615370","doi":"10.1016/j.resglo.2025.100271","title":"Towards inclusive and sustainable strategies in smart cities: A comparative analysis of Zurich, Oslo, and Copenhagen","year":2025,"lang":"en","type":"article","venue":"Research in Globalization","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Regent College","funders":"","keywords":"Regional science; Geography; Political science; Sociology; Environmental planning; Economic growth; Economics","score_opus":0.028790074410085097,"score_gpt":0.35807376694454934,"score_spread":0.32928369253446427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406615370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94228816,0.03792195,0.00066214416,0.0013123354,0.000090315945,0.00021081656,0.0011037622,0.000013592434,0.016397005],"genre_scores_gemma":[0.9897315,0.008405871,0.00040363552,0.00016385244,0.000008897461,0.00009296459,0.00037185286,0.000012364133,0.0008089935],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9958467,0.0012010455,0.0005386638,0.00041647546,0.00094618177,0.001051086],"domain_scores_gemma":[0.995453,0.0023684676,0.00097293255,0.0001349738,0.0005681851,0.00050241913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055681607,0.00044906707,0.0007818108,0.008084368,0.0020506196,0.0054848352,0.00077981065,0.00067635864,0.0031701548],"category_scores_gemma":[0.0072289365,0.0004927421,0.00084607664,0.010281919,0.0036323022,0.004374849,0.004384859,0.00058869715,0.00015270177],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021636013,0.00037236797,0.32580456,0.029769132,0.0024886732,0.004287929,0.33159426,0.00496667,0.0025174255,0.11561509,0.008376429,0.17204377],"study_design_scores_gemma":[0.0001449405,0.00038974226,0.4252808,0.009221859,0.0016018385,0.00056750496,0.4634725,0.00051891373,0.0009105986,0.0026452893,0.09508591,0.00016004239],"about_ca_topic_score_codex":0.13381197,"about_ca_topic_score_gemma":0.31439167,"teacher_disagreement_score":0.13381197,"about_ca_system_score_codex":0.016404249,"about_ca_system_score_gemma":0.020047761,"threshold_uncertainty_score":0.26606613},"labels":[],"label_agreement":null}]}