Fences

Film Information

Fences is a 2016 American period drama film starring, produced and directed by Denzel Washington and written by August Wilson, based on his Pulitzer Prize-winning 1985 play of the same name. Wilson was in Pittsburgh, Pennsylvania, and originally wanted to pursue being a poet, but later found passion for being a playwright. In addition to Washington, the film also stars Viola Davis, Stephen McKinley Henderson, Jovan Adepo, Russell Hornsby, Mykelti Williamson, and Saniyya Sidney.

All information in this section came from Wikipedia.

Clip Information

Troy and Rose have been married for 18 years but are now having an argument because Rose found out that Troy was seeing another woman.

Abbrev	Film	Clip Start	Clip Stop	Duration
Fences	Fences (2016)	01:21:07.000	01:23:21.000	134

Characteristic	Value
Format	MPEG-4
File Size	37.3 MiB
Duration	134.01
Frame Rate	23.976
Video Width	1920
Video Height	800
Video BitRate	2.2 MB/s
Audio Channels	2
Audio SamplingRate	48000
Audio BitRate	128.2 kB/s

Subtitles

The following wordcloud shows the words used in this clip, scaled by number of occurrences and colored by sentiment (orange = negative, green = positive, grey = neutral or unsure). Note that the words have been stemmed and lemmatized and stopwords have been removed.

The table below shows all subtitles in this clip with the start and stop time of each subtitle’s appearance in seconds.

Start	End	Subtitle
0.04	2.429	We ain't talking about baseball!
2.52	4.896	We talking about you going off and laying up with another woman,
4.92	5.976	then bringing it home to me.
6.00	8.336	That's what we're talking about. We're not talkin' about no baseball!
8.36	9.616	Rose, you're not listening to me.
9.64	12.518	I'm trying to explain it to you the best way I know how.
14.08	15.354	It's not easy for me to admit
15.48	18.552	that I've been standing in the same place for 18 years!
18.64	21.154	Well, I've been standing with you!
21.24	25.279	I've been right here with you, Troy! I got a life, too.
25.36	29.592	I gave 18 years of my life to stand in the same spot as you!
29.68	31.636	Don't you think I ever wanted other things?
31.72	33.836	Don't you think I had dreams and hopes?
33.92	36.514	What about my life? What about me?
36.60	39.200	Don't you think it ever crossed my mind to want to know other men?
39.28	43.592	That I wanted to lay up somewhere and forget about my responsibilities?
43.68	45.272	That I wanted someone to make me laugh,
45.36	47.396	so I could feel good?
47.48	49.550	You're not the only one who's got wants and needs.
49.68	51.591	But I held on to you, Troy.
51.68	55.832	I took all my feelings, my wants and needs and dreams,
55.92	57.717	and I buried them inside you.
57.80	60.075	I planted a seed and watched and prayed over it.
60.16	63.152	I planted myself inside you and waited to bloom!
63.24	67.074	And it didn't take me no 18 years to realize the soil was hard and rocky,
67.16	69.276	and it wasn't never gonna bloom!
69.36	72.272	But I held on to you, Troy. I held you tighter.
72.36	74.351	You was my husband.
74.44	77.079	I owed you everything I had.
77.16	79.833	Every part of me I could find to give you.
79.96	83.748	And upstairs in that bedroom, with the darkness falling in on me,
83.88	87.953	I gave everything I had to try and erase the doubt
88.04	90.713	that you wasn't the finest man in the world.
90.80	93.473	And wherever you was going, I was gonna be there with you,
93.60	96.034	because you was my husband.
97.48	100.472	'Cause that's the only way I was gonna survive as your wife.
101.72	105.395	You always talking about what you give and what you don't have to give.
106.08	107.798	But you take, too, Troy.
107.88	110.519	You take and don't even know nobody's giving.
110.60	111.656	You say I take and don't give.
111.68	112.829	Troy, you're hurting me.
112.92	115.176	- Troy, you're hurting my arm, let go! - I gave you everything I got.
115.20	116.256	Don't you tell that lie on me.
116.28	117.679	- Mama! - Don't you tell that lie!
117.76	119.273	Troy, you're hurting me!
119.88	121.233	Troy! Troy!
121.64	125.315	All right. That's strike two.
126.16	130.358	You stay away from around me, boy. Don't you strike out.
132.04	134.031	You're living with a full count.

Holistic Ratings

A total of 79 participants watched this film clip and then provided holistic ratings on how the entire clip made them feel. These holistic ratings were completed using five Positive Affect items (i.e., alert, determined, enthusiastic, excited, inspired) and five Negative Affect items (i.e., afraid, distressed, nervous, scared, upset), each rated on an ordinal scale from 0 to 4. The plot below shows the

Dynamic Ratings

A total of 79 participants watched this film clip and used the CARMA software to provide continuous (i.e., second-by-second) ratings of how it made them feel. These continuous ratings were made on a single emotional valence scale ranging from -4 (very negative) to 4 (very positive).

Time Series

We can plot the distribution of all valence ratings per second of the film clip to get a sense of how its emotional tone changes over time. The solid black line represents the mean of all ratings and the yellow, green, and purple ribbons represent the central 50%, 70%, and 90% of the ratings, respectively.

Inter-Rater Reliability

A Bayesian generalizability study was used to decompose the variance in ratings of this video clip into the following components: timepoint variance (in average ratings of each second, across raters), rater variance (in average ratings from each rater, across seconds), and residual variance (including second-by-rater interactions and measurement error). The lower and upper columns in the table below represent the boundaries of the 95% equal-tail credible interval. Note that we dropped the first 10 seconds of each clip (as rater “warmup” time).

Component	Term	Estimate	Lower	Upper	Percent
Rater	Variance	1.075	0.815	1.544	0.525
Timepoint	Variance	0.232	0.187	0.314	0.113
Residual	Variance	0.742	0.722	0.764	0.362

From these variance components, we can estimate inter-rater reliability of the ratings. There are many formulations of the two-way intraclass correlation (ICC), but the most relevant to our purposes here is the balanced average-measures consistency formulation or ICC(C,k).

Term	Estimate	Lower	Upper	Raters	Error
ICC(C,k)	0.963	0.952	0.971	79	Relative

Below, we can also visualize the posterior distributions of each of these parameters. Values with higher posterior density are more probable.