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Bluest Eye: secondary source comparison activity

Last edited: August 8, 2025

A secondary source comparison activity for the Bluest Eye

Tony Morrison’s Rootedness

That, if an action were to be done as in a community, its regarded as safer

It is a very personal grief and a personal statement done among people you trust. Done within the context of the community, therefore safe.

Public (white-washed) and private image, by necessesity, is separated

it’s just important that it be private. And then, whatever I do that is public can be done seriously.

bool

Last edited: August 8, 2025

bool does not belong in pure C.

#include <stdio.h>
#include <stdbool.h> // you need to include this to get bools to work.

int main(int argc, char *argv[]) {
    bool test = true;

    if (test)
        printf("its true\n")
}

bootstrap

Last edited: August 8, 2025

bootstrap allows you to know distribution statistics, calculate p-value, etc, with NO statistical testing like t test, etc.

Big idea: treat your sample space as your population, and sample from it to obtain an estimate of the properties of the sample distribution.

\begin{equation} D \approx \hat{D} \end{equation}

so, to calculate the distribution of any given statistic via a sample:

  1. estimate the PMF using sample
  2. my_statistic_dist = [] (like sample mean, sample variance, etc.)
  3. for i in (N >> 10000)
    1. take a subsample of len(sample) samples from PMFu
    2. my_statistic_dist.append(my_statistic=(=subsample)) (recall it has to be a sampling statistic (like N-1 for sample variance)
  4. how you have a distribution of my_statistic

We know that taking mean and var re drawn as a statistic of the same random variable, \(N\) times. So, central limit theorem holds. Therefore, these are normal and you can deal with them.

Boston Naming Test

Last edited: August 8, 2025

BNT is a discourse task where subjects are shown 60 pictures decreasing frequency and asked to recall the word.

Bouton 2018

Last edited: August 8, 2025

(Bouton et al. 2018)

One-Liner

Uses the single-user avoidance POMDP formulation presented in (Bouton, Cosgun, and Kochenderfer 2017) to extend to multiple road users

Novelty

Uses Single-User Model of Road Navigation to extend general POMDP formulation into multi-pedestrian/multi road user casesroad user cases

Previous Work

Imagine worst-case scenario always: set upper bound and always imagine it; could cause gridlock if situation never resolves.

Notable Methods

Uses QMDP and SARSOP to perform optimization

Single-User Model of Road Navigation

See Single-User Model of Road Navigation