Moonlight

Film Information

Moonlight is a 2016 American coming-of-age drama film written and directed by Barry Jenkins, based on Tarell Alvin McCraney’s unpublished semi-autobiographical play In Moonlight Black Boys Look Blue. The film stars Trevante Rhodes, André Holland, Janelle Monáe, Ashton Sanders, Jharrel Jerome, Naomie Harris, and Mahershala Ali.

All information in this section came from Wikipedia.

Clip Information

Juan teaches a young boy, Chiron, how to swim. The two then have a conversation on the beach and Juan gives Chiron some advice.

Abbrev	Film	Clip Start	Clip Stop	Duration
Moonlight	Moonlight (2016)	00:17:21.500	00:21:15.500	234

Characteristic	Value
Format	MPEG-4
File Size	84.5 MiB
Duration	234.026
Frame Rate	23.976
Video Width	1920
Video Height	800
Video BitRate	2.9 MB/s
Audio Channels	2
Audio SamplingRate	48000
Audio BitRate	129.0 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
14.096	15.348	Come on, man.
41.957	43.209	Give me your head.
45.377	48.881	Here, let your head rest in my hand. Relax.
48.964	52.434	I got you, I promise. I'm not gon' let you go.
52.510	54.558	Hey, man, I got you.
54.637	57.607	There you go. Ten seconds.
59.850	61.443	Feel that right there?
63.229	65.231	You're in the middle of the world, man.
66.440	67.692	That's good.
69.819	71.446	Do like this.
75.199	77.577	Look at you.
77.660	79.207	More athletic.
79.286	82.460	There you go... there you go.
83.833	86.211	Yeah. I think you ready.
87.461	88.963	I think we got a swimmer.
89.964	92.012	You wanna try? You ready to swim?
93.592	94.844	Go.
99.306	102.560	Yeah, man!
104.687	106.109	Yeah!
128.043	129.761	Let me tell you something, man.
129.837	131.805	There are black people everywhere.
133.299	134.596	Remember that, okay?
135.593	137.654	No place you can go in the world ain't got no black people.
137.678	139.555	We's the first on this planet.
143.434	145.436	I been here a long time.
147.021	148.523	But I'm from Cuba.
150.107	152.155	Lot a black folks in Cuba,
152.234	154.074	you wouldn't know that from being here, though.
155.237	158.832	I was a wild li'l shorty, man, just like you.
158.908	162.378	Runnin' around with no shoes on when the moon was out.
164.371	165.873	This one time...
166.916	170.591	I run by this old... this old lady.
170.669	174.765	I was runnin', hollerin'... cuttin' a fool, boy.
175.758	178.932	This old lady, she stopped me.
179.011	180.354	She said...
182.890	186.986	"Running around, catching up all that light.
189.063	192.818	In moonlight... black boys look blue.
194.401	195.744	You blue.
197.988	199.615	That's what I gon' call you.
201.116	202.368	Blue."
205.412	207.460	So your name Blue?
210.125	211.377	Nah.
217.591	220.936	At some point you gotta decide for yourself who you gon' be.
223.597	226.020	Can't let nobody make that decision for you.

Holistic Ratings

A total of 75 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 75 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	0.674	0.516	0.983	0.462
Timepoint	Variance	0.227	0.189	0.280	0.155
Residual	Variance	0.560	0.548	0.573	0.383

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)	0.969	0.962	0.974	75	Relative

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