{"id":"W4406547695","doi":"10.56734/ijahss.v6n1a5","title":"Leveraging Diaspora Contributions for Economic Resilience in Nigeria During a Recession","year":2025,"lang":"en","type":"article","venue":"International Journal of Arts Humanities & Social Science","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diaspora; Resilience (materials science); Recession; Global recession; Economics; Development economics; Great recession; Economic geography; Geography; Sociology; Keynesian economics; Gender studies","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002247342,0.000470516,0.0003092495,0.0007733285,0.008080797,0.004216047,0.0005611149,0.0008176289,0.00460258],"category_scores_gemma":[0.002468412,0.000254208,0.0002130073,0.0004985732,0.004142286,0.002785419,0.008030696,0.00128709,0.000427593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647941,"about_ca_system_score_gemma":0.004493076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002711259,"about_ca_topic_score_gemma":0.01181714,"domain_scores_codex":[0.9987379,0.0006801242,0.00002848678,0.00006272619,0.00005658226,0.0004342714],"domain_scores_gemma":[0.9989567,0.0002974097,0.0001625492,0.00006979921,0.00007793114,0.0004356396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003776693,0.0003519389,0.06225586,0.0008026065,0.00004134186,0.01217146,0.7400495,0.0004472997,0.005602907,0.05823012,0.007450127,0.1122192],"study_design_scores_gemma":[0.00001104193,0.00008383761,0.01627714,0.0007999067,0.00001865455,0.001009364,0.8882405,0.0002232489,0.0006078183,0.005644411,0.08706025,0.00002380994],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9477798,0.001713179,0.001492018,0.004546686,0.0002583172,0.0001212266,0.00004792585,0.00001842085,0.04402236],"genre_scores_gemma":[0.9950441,0.0009703978,0.0005845471,0.0003776471,0.00001622618,0.00004628911,0.00001456543,0.000007890697,0.002938261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008080797,"threshold_uncertainty_score":0.01539719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01921904037591929,"score_gpt":0.3523425385517338,"score_spread":0.3331234981758145,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}