{"id":"W4407539087","doi":"10.1111/polp.70000","title":"Introduction to the Special Issue: Exploring the Policy–Mobilization Nexus: How Policies and Mobilizations Shape One Another","year":2025,"lang":"en","type":"article","venue":"Politics &amp Policy","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Mobilization; Nexus (standard); Political science; Political economy; Resource mobilization; Public administration; Sociology; Social movement; Computer science; Law; Politics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005415887,0.0002148767,0.0002355609,0.0004301502,0.003509863,0.0003937958,0.0004029671,0.0001104319,0.00004621773],"category_scores_gemma":[0.003473914,0.0001458804,0.00008651576,0.002210408,0.001066503,0.0002814686,0.0002331017,0.0001965811,0.00005238759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003768523,"about_ca_system_score_gemma":0.0005446747,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02751578,"about_ca_topic_score_gemma":0.01114762,"domain_scores_codex":[0.9979661,0.0003064287,0.0002694099,0.0003072812,0.0003770538,0.0007736891],"domain_scores_gemma":[0.9988242,0.0003031715,0.00009367045,0.0004130423,0.0002336097,0.0001322621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004497382,0.00003802785,0.0002643246,0.00001581934,0.00005347205,5.119232e-8,0.09028497,0.00006086107,0.00002953739,0.8502718,0.05384659,0.005129999],"study_design_scores_gemma":[0.0001307901,0.00002102223,0.006809135,0.00002123256,0.00004380179,6.956683e-7,0.03006585,0.00001719171,0.00008438902,0.068096,0.8945362,0.0001736678],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03123118,0.00013634,0.0003085548,0.8951011,0.001252549,0.0008841902,0.00004748834,0.0001556724,0.07088298],"genre_scores_gemma":[0.5735914,0.002923361,0.000130883,0.02735022,0.2951366,0.000459322,0.00001735434,0.00006529118,0.1003256],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8677508,"threshold_uncertainty_score":0.9977874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06205328017932468,"score_gpt":0.3532363954807147,"score_spread":0.2911831153013901,"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."}}