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RESULTS

Subject Profiles

Title

Original Release Date/Form

Genre

Gold Standard

Story Template Algorithm

Charlotte’s Web

1952/Children’s Book

Children’s

Classic

Classic

Chronicles of Narnia: Prince Caspian

1951/Children’s Novel

Fantasy/Children’s

Classic

Classic

Heaven Can Wait

1978/Film

Comedy

Non-Classic

Non-Classic

High Noon

1952/Film

Western

Classic

Classic

Indiana Jones: Raiders of the Lost Ark

1981/Film

Action/Adventure

Classic

Non-Classic

Iron Man

1963/Comic Book à 2008/Film

Action/Adventure

N/A

Predicted Classic

Jaws

1974/Novel

Horror

Classic

Classic

Lady Hawke

1985/Film

Romance

Non-Classic

Non-Classic

Rocky

1976/Film

Drama

Classic

Classic

Tuck Everlasting

1975/Young Adult Novel

Children’s

Classic

Classic

War Games

1983/Film

Science Fiction

Non-Classic

Non-Classic

 

This chart shows the stories that were studied in this project. Seven stories were identified as classics by the Gold Standard as per the criteria mentioned in the Methods section: Charlotte’s Web, Prince Caspian, High Noon, Raiders of the Lost Ark, Jaws, Rocky, and Tuck Everlasting. The Story Template algorithm correctly identified six of the seven classics as classics. Raiders of the Lost Ark was identified as a non-classic by The Story Template algorithm.

 

Three stories were identified as non-classics by the Gold Standard as per the criteria mentioned in the methods section: Heaven Can Wait, Lady Hawke, and War Games. The Story Template algorithm correctly identified all three of these non-classics as non-classics.

 

For fun, one modern story was included in this study to forecast whether it had the potential to become a classic. Iron Man was predicted to be a classic by The Story Template algorithm.

 

 

 

Sensitivity, Specificity, and Accuracy

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User-uploaded Content

The third graph: Accuracy: Differentiating Between Classics and Non-Classics shows that The Story Template algorithm correctly identified nine of the ten movies classified by the gold standard as classics or non-classics. The accuracy of The Story Template as a predictive test for stories was therefore 90% in this small sample size.

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Statistical Analysis

 

2x2 Contingency Table of Binary Data

 

Template Classic

Template

Non-Classic

Total

Gold Standard

Classic

 

6

 

1

 

7

Gold Standard

Non-Classic

 

0

 

3

 

3

Total

6

4

10

 

This chart: 2x2 Contingency Table of Binary Data classifies the binary data (yes/no) into a table. The Story Template correctly identified six of the seven gold standard classics, and misidentified one classic as a non-classic. The Story Template also correctly identified three of three non-classics.

 

The above results were analyzed using a Fisher’s exact test, and were shown to be statistically significant (p < 0.03 for a two-tailed analysis). This significant result suggests that The Story Template accuracy (positive and negative detections compared to a “true” standard) is a real phenomenon, not due to chance. The study design of 16 factors, though, clouds strong interpretation of this p value as more than a suggestive trend.

DRAFT: This module has unpublished changes.