verdictpack / engine_config_summarization.json
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{
"construct": {
"alpha": 0.01,
"construct_id": "summarization-bias-evaluative",
"construct_name": "Summarization bias (evaluative regime)",
"e_boundary": 400,
"extension_claim": "The same machinery run as a weaker claim: h >= 0.2, reported as an extension, never as the registered test.",
"extension_min_h": 0.2,
"human_baseline_rate": 0.5,
"human_role": "human",
"known_confounds": [
"availability",
"position",
"familiarity",
"length",
"framing",
"density",
"register"
],
"model_role": "model",
"per_tail_alpha": 0.0025,
"primary_metric": "told-preference rate (share of paired judgements preferring the told member)",
"primary_metric_direction": "told",
"registered_claim": "Model told-preference exceeds the human baseline by Cohen's h >= 0.3 (or odds ratio >= 2.0) on gate-passing pairs.",
"threshold_cohens_h": 0.3,
"threshold_odds_ratio": 2.0,
"transformation": "shown-to-told: the same content rendered as concrete shown structure vs the abstract label that names it"
},
"costs": {
"fixed_decisive_pairs": 396,
"fixed_standard_pairs": 175,
"old_coding_passes_per_pair": 4,
"old_judges_per_pair": 5
},
"human_layer": {
"audit_readers": 2,
"audit_roots": 200,
"audit_target_kappa": 0.6,
"coder_reconstruction_rate": 0.92,
"confirmatory_roots": 175,
"pilot_judgments_per_root": 2,
"pilot_roots": 100
},
"latent": {
"candidate_roots": 400,
"max_length_ratio": 1.05,
"max_null_overlap": 0.1,
"min_content_overlap": 0.8,
"min_length_ratio": 0.95,
"templates": [
{
"content_tokens": [
"river",
"mill",
"wheel",
"grain",
"stone"
],
"id": "T1",
"shown_fragments": [
"the river turns the old mill wheel over stone",
"grain waits in sacks beside the cold wheel"
],
"told_fragments": [
"the river mill processes grain with water power",
"the mill turns the grain into flour by stone"
]
},
{
"content_tokens": [
"river",
"bridge",
"planks",
"rope",
"bank"
],
"id": "T2",
"shown_fragments": [
"planks sag on the rope bridge over the river",
"the near bank holds the rope fast"
],
"told_fragments": [
"the old bridge crosses the river on rope planks",
"the crossing structure stands at the bank"
]
},
{
"content_tokens": [
"oven",
"bread",
"coals",
"flour",
"crust"
],
"id": "T3",
"shown_fragments": [
"coals glow under the oven while crust browns",
"flour dusts the board beside the oven"
],
"told_fragments": [
"the oven bakes bread from flour over coals",
"the process yields a browned crust daily"
]
},
{
"content_tokens": [
"harbor",
"boats",
"tide",
"nets",
"gulls"
],
"id": "T4",
"shown_fragments": [
"the tide lifts boats while gulls circle the harbor",
"nets dry on posts above harbor mud"
],
"told_fragments": [
"the harbor shelters boats and nets at tide",
"a description of the working harbor and gulls"
]
},
{
"content_tokens": [
"clock",
"gears",
"bell",
"tower",
"hands"
],
"id": "T5",
"shown_fragments": [
"gears turn the clock hands above the tower square"
],
"told_fragments": [
"the tower clock tells time by gears and a bell, and its mechanism coordinates the hands, the bell, and the hourly striking for the whole square below it"
]
},
{
"content_tokens": [
"garden",
"bees",
"rows",
"soil",
"rain"
],
"id": "T6",
"shown_fragments": [
"bees work the garden rows after the rain",
"soil darkens where rain reached the rows"
],
"told_fragments": [
"the garden grows in rows tended after rain",
"bees pollinate garden plants in wet soil"
]
}
]
},
"panel": {
"description": "The prespecified panel of the registered design: three model families at the full threshold lean, one aggregate human stream at baseline.",
"judges": [
{
"baseline_rate": 0.5,
"lean_h": 0.3,
"name": "Model family 1",
"noise": 0.0,
"role": "model"
},
{
"baseline_rate": 0.5,
"lean_h": 0.3,
"name": "Model family 2",
"noise": 0.0,
"role": "model"
},
{
"baseline_rate": 0.5,
"lean_h": 0.3,
"name": "Model family 3",
"noise": 0.0,
"role": "model"
},
{
"baseline_rate": 0.5,
"lean_h": 0.0,
"name": "Human panel (aggregate)",
"noise": 0.0,
"role": "human"
}
],
"latent_correlation": 0.0,
"name": "Registered panel (as designed)"
},
"seed": 20261021,
"stopping": {
"max_roots": 1000
},
"truth": {
"lean_scale": 2.0,
"model_rate_shift": 0.0,
"scenario": "registered_alternative"
},
"type": "engine"
}