No Country for Old Men

Film Information

No Country for Old Men is a 2007 American neo-Western crime thriller film written and directed by Joel and Ethan Coen, based on Cormac McCarthy’s 2005 novel of the same name. Starring Tommy Lee Jones, Javier Bardem, and Josh Brolin, the film is set in the desert landscape of 1980 West Texas. The film follows three main characters: Llewelyn Moss (Brolin), a Vietnam War veteran and welder who stumbles upon a large sum of money in the desert; Anton Chigurh (Bardem), a hitman who is tasked with recovering the money; and Ed Tom Bell (Jones), a local sheriff investigating the crime. The film also stars Kelly Macdonald as Moss’s wife Carla Jean, and Woody Harrelson as a bounty hunter seeking Moss and the return of the $2 million.

All information in this section came from Wikipedia.

Clip Information

This clip shows a hitman getting gas at a gas station in Texas. He talks with the gas station owner and makes him guess the result of his coin toss.

Abbrev	Film	Clip Start	Clip Stop	Duration
NoCountry	No Country for Old Men (2007)	00:20:50.600	00:25:12.600	262

Characteristic	Value
Format	MPEG-4
File Size	48.4 MiB
Duration	262.012
Frame Rate	23.976
Video Width	1920
Video Height	816
Video BitRate	1.4 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
8.846	9.686	How much?
9.886	11.366	Sixty-nine cents.
11.766	12.966	And the gas.
13.846	15.926	Y'all getting any rain up your way?
17.565	18.565	What way would that be?
18.645	20.285	I seen you was from Dallas.
22.805	28.405	What business is it of yours where I'm from, friendo?
31.165	32.565	I didn't mean nothing by it.
32.765	34.085	Didn't mean nothing.
34.285	36.565	Just passing my time.
38.925	42.205	If you don't wanna accept that I don't know what else I can do for you.
45.445	46.805	Will there be something else?
46.840	48.165	I don't know. Will there?
55.364	56.404	Is something wrong?
56.439	57.181	With what?
57.216	57.924	With anything?
59.724	60.964	Is that what you're asking me?
61.804	63.524	Is there something wrong with anything?
64.404	65.484	Will there be anything else?
65.524	66.564	You already asked me that.
70.844	72.764	Well... I need to see about closing.
73.204	74.444	See about closing.
74.564	75.009	Yes sir.
75.044	76.124	What time do you close?
76.159	77.361	Now. We close now.
77.396	78.529	Now is not a time.
78.564	79.764	What time do you close?
79.804	81.524	Generally around dark. At dark.
86.564	88.363	You don't know what you're talking about, do you?
88.398	88.963	Sir?
91.203	93.963	I said you don't know what you're talking about.
97.043	98.243	What time do you go to bed?
98.923	99.443	Sir?
99.643	101.363	You're a bit deaf, aren't you?
101.398	103.083	I said what time do you go to bed?
107.683	109.083	Somewhere around 9:30.
109.683	111.263	I'd say around 9:30.
111.298	112.808	I could come back then.
112.843	114.163	Why would you be coming back?
114.198	115.128	We'd be closed.
115.163	116.163	Yeah. You said that.
118.523	120.168	Well... I got to close now.
120.203	121.763	You live in that house out back?
123.043	124.882	Yes I do.
125.762	127.202	You lived here all your life?
128.722	132.602	This is my wife's father's place. Originally.
135.442	136.322	You married into it.
137.042	139.682	We lived in Temple Texas for many years.
141.162	142.602	Raised a family there.
143.402	144.607	In Temple.
144.642	146.762	We come out here about four years ago.
147.722	148.602	You married into it.
149.402	150.882	If that's the way you wanna put it.
151.162	152.842	I don't have some way to put it.
153.962	155.042	That's the way it is.
163.401	165.801	What's the most you've ever lost in a coin toss?
167.161	167.646	Sir?
167.681	171.001	The most you ever lost in a coin toss.
173.161	174.761	I don't know. I couldn't say.
177.881	178.721	Call it.
179.481	179.961	Call it?
180.081	180.601	Yes.
181.241	181.921	For what?
182.161	182.961	Just call it.
186.081	189.761	Well, we need to know what we're calling it for here.
189.796	190.801	You need to call it.
190.881	192.561	I can't call it for you.
193.401	194.640	It wouldn't be fair.
194.760	196.320	I didn't put nothing up.
196.355	197.600	Yes, you did.
198.240	199.920	You've been putting it up your whole life.
199.955	201.000	You just didn't know it.
202.280	204.160	You know what date is on this coin?
204.440	205.400	No.
205.440	206.360	1958.
207.280	209.480	It's been traveling twenty-two years to get here.
210.000	210.960	And now it's here.
212.120	213.320	And it's either heads or tails.
214.840	216.080	And you have to say. Call it.
216.360	219.440	Look... I need to know what I stand to win.
219.840	220.600	Everything.
221.960	222.445	How's that?
222.480	224.640	You stand to win everything. Call it.
229.440	232.559	Alright. Heads then.
237.319	238.239	Well done.
240.759	241.559	Don't put it in your pocket.
241.679	242.564	Sir?
242.599	244.639	Don't put it in your pocket. It's your lucky quarter.
246.919	248.039	Where you want me to put it?
248.074	249.159	Anywhere not in your pocket.
250.399	253.479	Or it'll be mixed in with the others and become just a coin.
257.959	258.519	Which it is.

Holistic Ratings

A total of 73 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 72 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	1.062	0.812	1.577	0.582
Timepoint	Variance	0.170	0.143	0.208	0.093
Residual	Variance	0.591	0.579	0.603	0.324

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)	0.954	0.946	0.962	72	Relative

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