{"id":"W1606215873","doi":"10.18806/tesl.v28i1.1059","title":"Tinkering with tasks knows no bounds: ESL Teachers’ Adaptations of Task-Based Language-Teaching","year":2010,"lang":"en","type":"article","venue":"TESL Canada Journal","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Task (project management); Language education; Presentation (obstetrics); Identity (music); Psychology; Language assessment; Comprehension approach; Task analysis; Computer science; Mathematics education; Linguistics; Pedagogy; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006667274,0.0001712711,0.0002083274,0.0001195954,0.001028531,0.0002529702,0.0002322889,0.00004002436,0.01059529],"category_scores_gemma":[0.0002650477,0.0001372398,0.00006343056,0.00003009702,0.0001207264,0.0001870559,0.00001651561,0.001879662,0.00000768436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009389405,"about_ca_system_score_gemma":0.0009792461,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2054925,"about_ca_topic_score_gemma":0.531511,"domain_scores_codex":[0.9986948,0.0001201764,0.0003042129,0.0001439101,0.0004158493,0.0003210093],"domain_scores_gemma":[0.9990281,0.0001732404,0.0002889203,0.0001969494,0.0001452977,0.0001674571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002648249,0.0006537516,0.005498459,0.0002659185,0.0009748725,0.0008776741,0.5570405,0.008538347,0.04244364,0.07575904,0.1924165,0.1152665],"study_design_scores_gemma":[0.0007934312,0.0001887069,0.0006927283,0.0001935342,0.00007654189,0.0000997091,0.02201496,0.001797747,0.0001188444,0.00003278266,0.9736251,0.0003658713],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9353577,0.001432508,0.0004365715,0.0006978051,0.0009820228,0.00009693143,0.0000317545,0.00008446373,0.0608802],"genre_scores_gemma":[0.9923323,0.000001041717,0.002004878,0.002088064,0.001014641,0.000003358004,0.00001271863,0.00003872599,0.002504268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7812086,"threshold_uncertainty_score":0.9903092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051651298725402,"score_gpt":0.2162335331306431,"score_spread":0.2057170201433891,"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."}}