Miracle

Film Information

Miracle is a 2004 American sports film about the United States men’s ice hockey team, led by head coach Herb Brooks, portrayed by Kurt Russell, who won the gold medal in the 1980 Winter Olympics. The American team’s victory over the heavily favored Soviet professionals in the medal round was dubbed the “Miracle on Ice”. Miracle was directed by Gavin O’Connor and written by Eric Guggenheim and Mike Rich.

All information in this section came from Wikipedia.

Clip Information

At the 1980 Winter Olympics, the United States men’s hockey team is getting ready to play their rival, the Soviet Union. Before the game, the head coach, Herb Brooks, talks to the team.

Abbrev Film Clip Start Clip Stop Duration
Miracle Miracle (2004) 01:36:19.500 01:42:00.000 341
Characteristic Value
Format MPEG-4
File Size 162.7 MiB
Duration 341.008
Frame Rate 23.976
Video Width 1920
Video Height 796
Video BitRate 3.7 MB/s
Audio Channels 6
Audio SamplingRate 48000
Audio BitRate 341.2 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
120.310 122.395 Great moments...
124.064 126.982 ...are born from great opportunity.
129.152 131.654 That's what you have here tonight, boys.
133.990 137.618 That's what you've earned here tonight.
141.915 143.290 One game.
145.001 149.004 If we played them ten times, they might win nine.
150.882 152.883 But not this game.
154.302 155.970 Not tonight.
158.723 161.809 Tonight we skate with them.
163.270 166.105 Tonight we stay with them.
166.189 169.859 And we shut them down because we can.
175.824 181.412 Tonight we are the greatest hockey team in the world.
188.128 191.005 You were born to be hockey players.
192.007 194.008 Every one of you.
196.761 200.389 And you were meant to be here tonight.
204.978 207.146 This is your time.
211.318 214.445 Their time is done.
214.529 216.530 It's over.
217.574 223.579 I'm sick and tired of hearing about what a great hockey team the Soviets have.
223.663 227.541 Screw them. This is your time.
229.669 232.463 Now, go out there and take it.
308.290 311.333 Hold up here a second. We're just gonna wait for the OK.
313.420 316.505 - We're all set. - All right. Go ahead and send them in.
316.590 318.799 OK. It's time.
318.842 320.509 Come on, Jimmy.
320.594 324.805 Come on, Buzzy. Let's hustle.
328.476 330.519 Come on, Brotz. Let's go, Strobel.
333.189 334.857 Rizzo.
336.943 341.113 USA! USA! USA!

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 78 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 0.516 0.397 0.756 0.211
Timepoint Variance 1.326 1.135 1.543 0.541
Residual Variance 0.607 0.598 0.619 0.248

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) 0.994 0.993 0.995 78 Relative

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