Lady Bird

Film Information

Lady Bird is a 2017 American coming-of-age comedy-drama film written and directed by Greta Gerwig in her solo directorial debut. Set in Sacramento, California from fall 2002 to fall 2003, the film tells the story of a high school senior and her strained relationship with her mother. It stars Saoirse Ronan in the title role with Laurie Metcalf, Tracy Letts, Lucas Hedges, Timothée Chalamet, Beanie Feldstein, Stephen McKinley Henderson, and Lois Smith in supporting roles.

All information in this section came from Wikipedia.

Clip Information

Christine McPherson wakes up in the hospital after drinking too much during her first weekend at college. She calls her parent’s home and leaves a voicemail.

Abbrev	Film	Clip Start	Clip Stop	Duration
LadyBird	Lady Bird (2017)	01:24:40.000	01:28:32.000	232

Characteristic	Value
Format	MPEG-4
File Size	80.5 MiB
Duration	232.024
Frame Rate	23.976
Video Width	1920
Video Height	1024
Video BitRate	2.8 MB/s
Audio Channels	2
Audio SamplingRate	48000
Audio BitRate	128.4 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
18.822	26.822	[sighs]
62.325	64.242	Excuse me. What day is it?
64.244	66.159	Sunday.
66.161	67.244	Thank you.
67.246	68.248	[bell tolling]
82.094	84.263	- [bell tolling continues] - [choir singing]
88.935	91.228	[choir singing continues]
103.240	105.368	[choir singing continues]
120.008	122.135	[choir singing continues]
126.138	127.932	[phone ringing]
138.151	140.609	[Larry] Hi. You've reached the McPherson family.
140.611	142.444	Please leave a message. Thank you.
142.446	143.947	[beeps]
143.949	145.075	Hi, Mom and Dad.
146.200	148.911	It's me. Christine.
150.579	153.165	It's the name you gave me. It's a good one.
156.002	157.754	Dad, this is more for Mom.
160.923	162.551	Hey, Mom.
165.178	171.724	Did you feel emotional the first time that you drove in Sacramento?
171.726	175.519	I did, and I wanted to tell you,
175.521	178.440	but we weren't really talking when it happened.
180.360	182.860	All those bends I've known my whole life,
182.862	188.241	and stores and the whole thing.
188.243	194.581	[Marion's indistinct voice]
194.583	196.960	[Marion's indistinct voice continues]
207.387	208.972	But I wanted to tell you...
211.432	213.100	I love you. [sighs]
214.436	217.105	Thank you. I'm...
220.066	221.067	Thank you.
226.408	231.408	...
231.410	232.410	[inhales]

Holistic Ratings

A total of 78 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 73 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	0.457	0.354	0.689	0.252
Timepoint	Variance	0.455	0.384	0.566	0.250
Residual	Variance	0.905	0.887	0.927	0.498

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)	0.974	0.969	0.979	73	Relative

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