{
    "slots": [
        {
            "scope": "dataset",
            "slot": "nature",
            "value": {
                "nature": "observational"
            },
            "evidence": {
                "reasoning": "Kaggle survey-style export of student self-reported usage, sleep, stress and mental-health scores; no operator controls a process that produced it."
            }
        },
        {
            "scope": "dataset",
            "slot": "decisions_served",
            "value": {
                "decisions": [
                    "Which student segments (age, academic level, gender) to prioritize for digital-wellbeing outreach",
                    "Whether to recommend limits on daily or late-night social media use to protect sleep and GPA",
                    "Which platforms or device types to flag as higher-risk for stress and mental-health outcomes",
                    "Whether to design interventions targeting social comparison behavior"
                ]
            },
            "evidence": {
                "reasoning": "Usage hours, platform, device and late-night flag sit alongside sleep, stress, mental health index, GPA and an overall impact label per student."
            }
        },
        {
            "scope": "dataset",
            "slot": "levers",
            "value": {
                "levers": []
            },
            "evidence": {
                "reasoning": "Data records self-reported behaviors and outcomes of students, with no operator-controlled process. Usage hours and late-night use are behaviors, not levers an operator pulls here; any intervention would be external to the data."
            }
        },
        {
            "scope": "dataset",
            "slot": "audience",
            "value": {
                "audience": [
                    "school counselors",
                    "education policy makers",
                    "student wellbeing program managers",
                    "public health researchers",
                    "parents and educators"
                ]
            }
        },
        {
            "scope": "table:Social_media_impact_on_life",
            "slot": "role",
            "value": {
                "role": "fact"
            },
            "evidence": {
                "reasoning": "Each row is a student observation holding many measures. The table_type DIMENSION label is a weaker fit; this is an entity-level survey record with outcome measures."
            }
        },
        {
            "scope": "table:Social_media_impact_on_life",
            "slot": "column_bindings",
            "value": {
                "bindings": [
                    {
                        "column": "Student_ID",
                        "binding": "identifier"
                    },
                    {
                        "column": "Age",
                        "binding": "category"
                    },
                    {
                        "column": "Gender",
                        "binding": "category"
                    },
                    {
                        "column": "Academic_Level",
                        "binding": "category"
                    },
                    {
                        "column": "Primary_Platform",
                        "binding": "category"
                    },
                    {
                        "column": "Daily_Usage_Hours",
                        "binding": "measure"
                    },
                    {
                        "column": "Weekend_Extra_Hours",
                        "binding": "measure"
                    },
                    {
                        "column": "Device_Type",
                        "binding": "category"
                    },
                    {
                        "column": "Sleep_Duration_Hours",
                        "binding": "measure"
                    },
                    {
                        "column": "Sleep_Quality_Score",
                        "binding": "measure"
                    },
                    {
                        "column": "Late_Night_Usage",
                        "binding": "flag"
                    },
                    {
                        "column": "Social_Comparison_Frequency",
                        "binding": "category"
                    },
                    {
                        "column": "Perceived_Stress_Score",
                        "binding": "measure"
                    },
                    {
                        "column": "Mental_Health_Index",
                        "binding": "measure"
                    },
                    {
                        "column": "Academic_Performance_GPA",
                        "binding": "measure"
                    },
                    {
                        "column": "Overall_Impact",
                        "binding": "category"
                    },
                    {
                        "column": "_ingestion_timestamp",
                        "binding": "temporal"
                    },
                    {
                        "column": "_batch_id",
                        "binding": "category"
                    },
                    {
                        "column": "_source_file",
                        "binding": "category"
                    },
                    {
                        "column": "_source_system",
                        "binding": "category"
                    }
                ]
            },
            "evidence": {
                "reasoning": "Age has 12 distinct integer values (15-26 range-like) and is used as a segmenting dimension. Daily_Usage_Hours and Weekend_Extra_Hours are durations of time spent, not timestamps, so they are measures rather than temporal."
            }
        },
        {
            "scope": "table:Social_media_impact_on_life",
            "slot": "temporal_posture",
            "value": {
                "posture": "snapshot",
                "columns": [
                    "_ingestion_timestamp"
                ]
            },
            "evidence": {
                "reasoning": "The only true timestamp is the single-valued ingestion time, so the data is a cross-sectional snapshot with no time series. The hours columns are durations, not dates."
            }
        }
    ]
}