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# Scoping Review: Inequalities on the Labour Market
This repository contains all data, modelling and processing source code and the complete textual content to reproduce the scoping review study.
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The most up-to-date version of this repository can always be found [here ](https://git.martyoeh.me/professional/wow-inequalities ).
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Raw references, extracted and processed data can all be found in the `data/` directory:
Reference data include the unmodified database queries using the scoping review search terms,
and the bibtex file produced by Zotero after tagging and sorting in a Zotero library, ready to be re-imported into the application.
Extracted data include the fully extracted studies which make up the main sample for the review.
Processed data are ready to import into a dataframe or visualize in a report.
All full texts and visualization code reside in the `manuscripts/` directory.
The full working paper text and code can be found in the `scoping_review.qmd` file.
The full article text can be found in the `article.qmd` file.
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They both make use of supplementary extraction and processing code which resides in the `src/` directory,
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mainly to load processed data from the `data/` directory and turn it into `.csv` data,
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as well as pre-processing for visualization and validity ranking within the study.
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## Execution and Reproduction
To reproduce the content herein, there are 3 requirements:
- [Python ](https://www.python.org/ ) (minimum version 3.11)
- [Poetry package manager ](https://python-poetry.org/ )
- [Quarto publishing system ](https://quarto.org/ )
Once you have all required software to install all necessary package dependencies,
invoke poetry from the main repository directory:
```bash
poetry install
```
Now, by invoking `make` the project can be rendered:
```bash
make
```
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Make will by default extract the processed data and use it to render the full project into a pdf, an html and a docx version of the review, which are deposited in the `outputs/` directory.
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You can invoke any of the `extract` , `render` , `release` steps manually instead by executing e.g. `make extract` .