Update #4: A Note On Lyrical Relationships

Hello Everyone,

So, my research journal has a whole page dedicated to what looks like an odd color coded, symbolized multiplication table. I promise it’s not actually that. It’s actually a visual representation of lyrical relationships. Each theme has a corresponding highlight color or underline. When these themes occur in text, the lyrics are highlighted accordingly. In order to analyze relationships statistically, each relationship has to have a numeric code. Every possible thematic relationship is represented in the chart below. Using the example from the last post, “Hell You Talmbout” consists mostly of one relationship between names of victims of police brutality and #BLM slogans (in this case, “Say His/Her Name). The lyrics that contain the names of victims are highlighted in pink and the lyrics that contain “Say His/Her Name” are highlighted in yellow. As shown in the chart, the relationship between pink and yellow highlights is coded as number two. As redundant as this coding may seem, it eases the process of statistical analysis and makes interpreting relationships a much more refined process.

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Philosophy Research on Time and Space – Update 1 on Time

My research interest on time now falls primarily on the distinction of A-series and B-series. McTaggart is the philosopher who starts the distinction between A-series and B-series and one primary concern of this distinction is whether “presentness” is objective or subjective. A-series describes the time series in which presentness is objective and independent from perception. On the other hand, B series describes that in which presentness is only a subjective concept and dependent on perception. That is to say, if there is no perceiver, there would be no “now” or “present,” with only events left which is ordered in a certain way (a way which is similar to the way we perceive time, only that we perceive “presentness” as well).

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Petit à petit: Progress toward the Mission’s Data Vision

The greatest feeling a GIS enthusiast can have is when colleagues express interest in geospatial data and realise the impact it can have on their work and their organisation. Encouraging staff to make use of this data can be difficult in a large government organisation. But, when folks from the various technical teams at the Mission learned about the geocoded activities dataset being created, they had big ideas for how it could improve their quarterly reporting, site selection, performance evaluation, coordination with other donors, and much more.

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