{"id":"W2107719182","doi":"","title":"EMPOWERMENT: FROM NOISE TO VOICE","year":2010,"lang":"en","type":"article","venue":"Human Development Resource Network (HDRNet)","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Empowerment; Wright; Politics; Public relations; Citizen journalism; State (computer science); Corporate governance; Sociology; Political science; Democracy; Public administration; Management; Economics; Engineering; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008316522,0.0005375773,0.0005017125,0.001090839,0.009998276,0.01016035,0.0009026724,0.002526127,0.009462981],"category_scores_gemma":[0.008565523,0.0002329317,0.0003409874,0.0009807368,0.05317846,0.01033124,0.01122986,0.004176501,0.001009609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008446454,"about_ca_system_score_gemma":0.009838199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01743458,"about_ca_topic_score_gemma":0.02228614,"domain_scores_codex":[0.9887491,0.007321374,0.0001472167,0.0007354646,0.001478478,0.001568436],"domain_scores_gemma":[0.9945121,0.003322631,0.0003587335,0.0003556986,0.000659741,0.0007911307],"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":[0.00003675977,0.00002104725,0.001141668,0.0001273825,0.000006313331,0.0002540467,0.05552626,0.0002159157,0.0002320902,0.892073,0.01672112,0.03364436],"study_design_scores_gemma":[0.00002459458,0.00003569108,0.001077412,0.0005916925,0.000009474391,0.0002229936,0.04322762,0.0002271606,0.0003873459,0.3732611,0.5809107,0.00002422053],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03867988,0.01201026,0.02574598,0.1773136,0.001977546,0.00009077731,0.00009700126,0.0001431169,0.7439418],"genre_scores_gemma":[0.9130008,0.00646903,0.002981543,0.01549226,0.0008456757,0.0001547693,0.00005840512,0.000111222,0.06088633],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01743458,"threshold_uncertainty_score":0.06128359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01864117497941455,"score_gpt":0.2894095634437682,"score_spread":0.2707683884643537,"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."}}