A poem based on a JSON schema by Patrick Prunty.
reducing experiences to binary classifications
the question one asks
the person who asked it
the topics the question covers
whether in science,
technology,
nature,
the body,
the soul,
the mind,
and its sub-topics
whether the question provides options,
the options it gives
the general sentiment of the public to such question in question,
how many people got it right,
how many people got it wrong,
how long it took for them to answer,
the discussions they had in regard to the question, recorded,
in plain text, like one who types in a courtroom
and finally, the answers the question deems acceptable
{
"_id": "x4376261-8ff7-417d-9b4f-a62ecf723e7c",
"question": "How large is the moon?",
"user": "e5376261-8ff7-417d-9b4f-a62ecf723e7c",
"topics": ["astronomy", "science"],
"sub_topics": ["space exploration", "conciousness"],
"answers": ["1,079.6 mi", "1079.6", "1079.6 miles", "1,079 miles"],
"is_mcq": false,
"mcq_options": [],
"metadata": {
"likes": 12,
"dislikes": 30
},
"metrics": {
"asked": 258,
"correct": 100,
"incorrect": 58,
"unanswered": 100
},
"discussion": "e5376261-8ff7-417d-9b4f-a62ecf723e7c",
"dup_flag_count": 0
}In this poem, I explore the nuanced interplay between human experience and the computational logic inherent in software engineering. The poem serves as a poignant commentary on how the rich tapestry of daily interactions — such as posing a question to another individual — gets distilled into a streamlined schema. This schema, functioning as a digital blueprint, enables us to categorize questions and their various facets into binary classifications, thereby making them digestible and storable within the confines of machine logic.