Marriage Story

Film Information

Marriage Story is a 2019 drama film written and directed by Noah Baumbach, who also produced the film with David Heyman. It stars Scarlett Johansson and Adam Driver as a warring couple going through a coast-to-coast divorce. Laura Dern, Alan Alda, Ray Liotta, Julie Hagerty, and Merritt Wever appear in supporting roles.

All information in this section came from Wikipedia.

Clip Information

This clip shows a fight between Charlie and Nicole, a married couple going through divorce proceedings and a custody battle for their son Henry. Charlie is a theater director, and Nicole used to act in his plays when they lived in New York.

Abbrev	Film	Clip Start	Clip Stop	Duration
MarriageStory	Marriage Story (2019)	01:37:24.000	01:41:24.000	240

Characteristic	Value
Format	MPEG-4
File Size	91.5 MiB
Duration	240.032
Frame Rate	23.976
Video Width	1792
Video Height	1072
Video BitRate	2.9 MB/s
Audio Channels	6
Audio SamplingRate	48000
Audio BitRate	341.3 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
0.296	2.340	You're being so much like your father.
2.841	4.258	Do not compare me to my father!
4.342	6.760	I didn't compare you to him. I said you were acting like him.
6.845	8.096	You're exactly like your mother.
8.179	11.307	Everything you were complaining about her, you're doing. You're suffocating Henry.
11.390	14.102	First of all, I love my mother. She was a wonderful mother.
14.185	16.520	- I'm just repeating what you told me. - Secondly, how dare you
16.604	18.439	compare my mothering to my mother!
18.522	21.484	I may be like my father, but I am not like my mother!
21.567	22.568	You are!
22.651	24.195	And you're like my father!
24.278	25.696	You're also like my mother!
25.780	27.991	You're all the bad things about all of these people!
28.491	29.575	But mostly your mother.
29.658	30.993	When we would lie in bed together,
31.077	33.913	sometimes I would look at you and see her and just feel so gross!
33.997	36.708	- I felt repulsed when you touched me! - You're a slob.
36.791	38.418	I made all the beds, closed all cabinets...
38.501	41.795	The thought of having sex with you makes me want to peel my skin off.
41.880	44.215	You'll never be happy, in LA or anywhere.
44.298	46.800	You'll think you found some better opposite guy than me,
46.885	49.262	and in a few years, you'll rebel against him
49.345	52.473	because you need to have your voice, but you don't want a voice.
52.556	54.850	You just want to fucking complain about not having a voice!
54.934	58.187	I think about being married to you, and that woman is a stranger to me.
58.729	61.189	- I mean, we had a child's marriage. - You've regressed.
61.274	63.902	You've gone back to your life before you met me, it's pathetic.
63.985	67.864	People used to tell me that you were too selfish to be a great artist.
67.947	69.658	And I used to defend you.
69.740	71.116	They were absolutely right.
71.200	73.912	All your best acting is behind you. You're back to being a hack!
73.995	77.165	You gaslighted me! You're a fucking villain!
77.248	80.709	You want to present yourself as a victim because it's a good legal strategy?
80.793	83.879	Fine, but you and I both know you chose this life!
84.422	86.299	You wanted it until you didn't!
87.341	89.593	You used me so you could get out of LA.
89.677	90.719	I didn't use you.
90.803	93.138	You did, and then you blamed me for it!
93.306	95.724	You always made me aware of what I was doing wrong,
95.808	97.100	how I was falling short!
97.185	98.895	Life with you was joyless!
98.978	101.523	What, so then you had to go and fuck someone else?
101.605	103.191	You shouldn't be upset that I fucked her!
103.274	105.151	You should be upset that I had a laugh with her!
105.234	106.069	Do you love her?
106.152	107.403	No.
107.486	109.947	But she didn't hate me. You hated me.
110.031	111.115	You hated me.
111.199	112.909	You fucked somebody we worked with.
112.992	115.494	You stopped having sex with me in the last year.
115.578	117.079	I never cheated on you.
117.163	118.247	That was cheating on me!
118.331	120.291	But there was so much I could have done.
120.374	123.002	I was a director in my twenties who came from nothing
123.086	126.255	and was suddenly on the cover of fucking Time Out New York!
126.339	129.300	I was hot shit and I wanted to fuck everybody and I didn't.
129.383	131.635	And I loved you and I didn't want to lose you.
131.719	134.555	But I'm in my twenties, and I didn't want to lose that too,
134.638	136.182	and I kinda did!
136.640	139.017	And you wanted so much so fast.
139.102	140.812	I didn't even want to get married.
140.895	142.481	And fuck it!
142.813	144.523	There's so much I didn't do.
144.607	147.276	- Thanks for that! - You're welcome!
147.360	150.529	I can't believe I have to know you forever!
150.613	152.698	You're fucking insane!
153.491	155.701	And you're fucking winning!
156.327	157.912	Are you kidding me?
158.287	160.123	I wanted to be married.
160.664	161.999	I'd already lost!
162.458	164.793	You didn't love me as much as I loved you!
166.670	168.339	What does that have to do with LA?
170.674	171.509	What?
171.592	175.012	You're so merged with your own selfishness,
175.096	178.224	you don't even identify it as selfishness anymore!
178.599	180.851	You're such a dick!
180.935	183.563	Every day I wake up and I hope you're dead!
183.646	186.690	Dead, like if I could guarantee Henry would be okay,
186.774	190.611	I'd hope you'd get an illness, and then get hit by a car and die!
210.381	212.425	Oh, God!
222.393	223.227	I'm sorry.
225.146	226.105	Me too.

Holistic Ratings

A total of 76 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 76 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	1.432	1.111	2.107	0.588
Timepoint	Variance	0.265	0.225	0.328	0.109
Residual	Variance	0.740	0.725	0.757	0.304

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)	0.965	0.958	0.971	76	Relative

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