If Beale Street Could Talk

Film Information

If Beale Street Could Talk is a 2018 American romantic drama film written and directed by Barry Jenkins and based on James Baldwin’s 1974 novel of the same name. It stars an ensemble cast that includes KiKi Layne, Stephan James, Colman Domingo, Teyonah Parris, Michael Beach, Dave Franco, Diego Luna, Pedro Pascal, Ed Skrein, Brian Tyree Henry, and Regina King. The film follows a young woman who, with her family’s support, seeks to clear the name of her wrongly charged lover and prove his innocence before the birth of their child.

All information in this section came from Wikipedia.

Clip Information

Tish and Fonny have been together for a few years but are not married. Fonny is in jail for a crime he didn’t commit, and Tish is visiting to share some news

Abbrev Film Clip Start Clip Stop Duration
BealeStreet If Beale Street Could Talk (2018) 00:03:05.000 00:05:47.000 162
Characteristic Value
Format MPEG-4
File Size 40.6 MiB
Duration 162.037
Frame Rate 23.976
Video Width 1920
Video Height 960
Video BitRate 2.0 MB/s
Audio Channels 2
Audio SamplingRate 48000
Audio BitRate 128.0 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
0.000 1.995 (CELL DOOR BUZZES)
1.997 4.065 (PANTING)
5.367 6.432 (MUTTERS): I need to tell...
6.434 9.671 (INDISTINCT CHATTER)
17.913 19.949 (SIGHS)
24.620 26.855 - Hey. - Hey.
37.265 38.767 Alonzo?
42.236 44.206 Alonzo, we...
47.142 49.511 We're gonna have a baby.
53.981 56.883 TISH: I should have said already, we're not married.
56.885 59.252 That means more to him than it does to me,
59.254 61.655 but I understand how he feel.
61.657 63.990 Fonny is 22.
63.992 66.025 I'm 19.
66.027 68.794 I'm glad, Fonny.
68.796 72.134 I'm glad. Don't you worry.
78.139 80.942 (LAUGHING)
85.680 86.880 You tell my daddy?
86.882 88.981 - Not yet. - You tell your folks?
88.983 91.253 Not yet, but don't worry about them.
92.220 94.757 I just wanted to tell you first.
97.292 99.262 A baby.
107.703 110.471 What you gonna do?
110.473 113.873 I'm gonna do just like I've been doin'.
113.875 115.976 I'm gonna work up to just about the last month
115.978 118.814 and then Mama and Sis will take care for me.
119.781 121.916 You ain't got to worry.
122.750 126.821 And, anyway, we'll have you out of here before then.
129.824 132.060 Are you sure about that?
132.927 136.598 I'm always sure about that.
147.977 149.779 I love you.
151.180 153.148 I love you, 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 0.727 0.550 1.048 0.393
Timepoint Variance 0.216 0.175 0.281 0.117
Residual Variance 0.905 0.883 0.930 0.490

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) 0.95 0.936 0.959 76 Relative

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