The King’s Speech

Film Information

The King’s Speech is a 2010 British historical drama film directed by Tom Hooper and written by David Seidler. Colin Firth plays the future King George VI who, to cope with a stammer, sees Lionel Logue, an Australian speech and language therapist played by Geoffrey Rush. The men become friends as they work together, and after his brother abdicates the throne, the new king relies on Logue to help him make his first wartime radio broadcast upon Britain’s declaration of war on Germany in 1939.

All information in this section came from Wikipedia.

Clip Information

King George VI addresses Britain and the British Empire over the radio after England enters into World War II with Nazi Germany. King George has been working to overcome a significant stutter with his speech therapist Lionel Logue, whom he calls Logue.

Abbrev Film Clip Start Clip Stop Duration
KingsSpeech The King's Speech (2010) 01:40:41.000 01:47:46.000 425
Characteristic Value
Format MPEG-4
File Size 115.3 MiB
Duration 425.008
Frame Rate 23.976
Video Width 1920
Video Height 1072
Video BitRate 2.1 MB/s
Audio Channels 2
Audio SamplingRate 48000
Audio BitRate 129.3 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
3.413 5.666 - Mr. Wood. - Good luck, Your Majesty.
8.961 10.087 Mr. Wood.
11.046 14.550 - You've redecorated, Logue. - I made it cozy.
16.301 19.555 - Some fresh air. - There you are, darling.
24.268 25.895 I'm a thistle-sifter.
25.978 29.073 I've a sieve of sifted thistles and a sieve of unsifted thistles.
29.147 32.777 A sieve of sifted thistles and a sieve of unsifted thistles.
32.859 34.987 - Because I'm... - Bertie. Darling.
35.070 37.198 Make sure it's not switched on.
37.281 39.158 Remember, the red light will blink four times,
39.241 40.993 then I've asked them to turn it off.
41.076 44.125 'Cause we don't want that evil eye staring at you all the way through.
45.664 47.507 One minute, sir.
49.543 51.671 I'm sure you'll be splendid.
63.682 65.275 Forty seconds, sir.
68.186 69.779 Logue.
70.606 72.859 However this turns out...
74.359 77.659 ...I don't know how to thank you... for what you've done.
80.532 82.125 Knighthood?
86.580 88.253 Twenty seconds.
94.087 98.308 Forget everything else, and just say it to me.
99.551 102.350 Say it to me as a friend.
143.804 145.932 In this grave...
147.349 148.896 ..hour..
154.815 160.788 ...perhaps the most fateful in our history...
163.115 165.493 ...I send...
165.575 168.124 ...to every household of my...
170.914 172.757 ...a-peoples...
175.335 177.212 ...both at home...
181.383 183.431 ...and overseas...
192.936 194.984 ...this message...
195.981 200.703 ...spoken with the same depth of feeling...
201.486 203.488 ...for each one of you...
203.989 209.086 ...as if I were able to cross your threshold
209.161 213.382 and speak to you... myself.
217.002 221.803 For the second time in the lives of most of us...
221.882 224.431 ...we are... at...
224.509 225.852 Fuck, fuck, fuck!
225.927 227.179 ...at war.
228.138 229.606 Very good.
231.183 235.438 Over and over again...
236.521 239.900 ...we have tried to find...
241.860 247.708 ...a peaceful way out of the differences...
248.742 251.370 ...between ourselves...
251.453 253.000 ...and those...
253.705 259.053 ...who are now our... enemies.
261.046 265.051 But it has been... in vain.
265.884 270.936 We have been forced into a conflict,
271.014 275.941 for we are called to meet the challenge of a principle,
276.019 280.240 which, if it were to prevail,
280.315 284.866 would be fatal to any civilized order
284.945 286.993 in the world.
287.906 290.580 Such a principle,
290.659 296.587 stripped of all disguise,
296.665 299.794 is surely the mere...
302.921 306.892 ...primitive doctrine that might...
308.426 310.019 ...is right.
310.971 316.819 For the sake of all that we ourselves hold dean
316.893 320.488 it is unthinkable
320.564 325.240 that we should refuse to meet...
325.318 326.991 ...the challenge.
329.531 334.287 It is to this high purpose
334.369 337.043 that I now call
337.122 341.093 my people at home,
341.167 345.673 and my peoples across the seas,
345.755 350.511 who will make our cause their own.
350.594 355.600 I ask them to stand calm
355.682 358.856 and firm and united
358.935 362.985 in this time of trial.
363.064 365.817 The task will be hard.
366.776 370.747 There may be dark days ahead,
370.822 376.670 and war can no longer be confined
376.745 379.043 to the battlefield.
379.122 382.126 But we can only do the right
382.208 384.802 as we see the right,
384.878 388.849 and reverently commit
388.924 393.395 our cause to God.
395.263 398.938 If one and all we keep
399.017 403.944 resolutely faithful to it,
404.022 409.950 then, with God's help,
410.028 413.908 we shall... prevail.

Holistic Ratings

A total of 77 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 77 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 1.319 1.011 1.938 0.490
Timepoint Variance 0.253 0.222 0.296 0.094
Residual Variance 1.118 1.100 1.135 0.416

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) 0.946 0.939 0.953 77 Relative

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