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Tools for A Feminist Audit of Pop Music

Description

This is a collection of supporting tools for the conference paper "流行音樂中「女性力量」語彙的挪用與污染——以 Billboard Year-End Hot 10020162025)為例的內容分析".

Installation

Use pip to install these tools.

% pip install .

This will install the pop-fem-audit-tools script in the Python environment.

Usage

% pop-fem-audit-tools {command} [options] [arguments]

Runs a specific tool command, where "command" can be:

build-db

Initialize or rebuild the database from the CSV Billboard ranking table, parse songs and its artists, and output song and artist lists for references. Check pop-fem-audit-tools build-db -h for complete instructions on its usage.

fetch-artists

Fetch artist data from Wikidata, for build-db to merge the fetched data into the database. Check pop-fem-audit-tools fetch-artists -h for complete instructions on its usage.

fetch-lyrics

Fetch lyrics, for build-db to merge the fetched lyrics into the database. Lyrics are not committed into the repository due to copyright issue. Check pop-fem-audit-tools fetch-lyrics -h for complete instructions on its usage.

export-llm-input

Export song data for run-llm to talk to LLM. Check pop-fem-audit-tools export-llm-input -h for complete instructions on its usage.

run-llm

A general command that runs specific LLM instructions with the Anthropic API. The API key must be present in the .env file in the working directory. Check pop-fem-audit-tools run-llm -h for complete instructions on its usage.

pool-keywords

Deterministically pool the keywords of the two tagging runs into the clustering step's input, per the project's handoff contract. Check pop-fem-audit-tools pool-keywords -h for complete instructions on its usage.

cluster-keywords

Deterministically build the coding vocabulary from the pooled keywords by sentence-embedding and clustering them. Requires the optional cluster dependency group. Check pop-fem-audit-tools cluster-keywords -h for complete instructions on its usage.

Authors

imacat
2026/7/31
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