{"id":"W7106254121","doi":"10.2139/ssrn.5656490","title":"The Institutional Tension Index (ITI) A Rule-Based, Rank-Free Approach to Operationalizing the Two-Axis Fiscal Framework","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Local Government Finance and Decentralization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Operationalization; Through-the-lens metering; Index (typography); Reuse; Rubric; Lens (geology); Public spending; Simple (philosophy)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009013338,0.0006736563,0.0005667374,0.0001665308,0.009946183,0.001634485,0.00338942,0.0007081472,0.00008577757],"category_scores_gemma":[0.002208366,0.000430556,0.0006356984,0.001401272,0.000922324,0.0004429912,0.0009239996,0.007757185,0.000047053],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006628118,"about_ca_system_score_gemma":0.02447301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001450807,"about_ca_topic_score_gemma":0.003634047,"domain_scores_codex":[0.9891,0.001277535,0.00128185,0.0009704928,0.003403269,0.003966887],"domain_scores_gemma":[0.9964457,0.0009045986,0.0007066664,0.0009963869,0.0006544236,0.0002922032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004272754,0.0002510567,0.001445777,0.00001966938,0.0002633402,0.000002291138,0.001548346,0.1347779,0.000005142836,0.8428774,0.001695472,0.01668627],"study_design_scores_gemma":[0.002206116,0.0001986491,0.001911649,0.0008440163,0.0002629363,0.00008500374,0.01029398,0.04235158,0.00002221959,0.8442349,0.09668318,0.0009057741],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006221007,0.00653051,0.9280036,0.03852242,0.002709741,0.001831551,0.0000655037,0.00005222003,0.01606343],"genre_scores_gemma":[0.9630972,0.02093914,0.001056796,0.0048527,0.003503723,0.0002427121,0.00006308408,0.0000417421,0.006202948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9568762,"threshold_uncertainty_score":0.9998146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420796245076418,"score_gpt":0.2789976890690023,"score_spread":0.2647897266182381,"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."}}