| Abbrev | Film | Clip Start | Clip Stop | Duration |
|---|---|---|---|---|
| ParentTrap | The Parent Trap (1998) | 00:45:09.600 | 00:52:14.600 | 425 |
The Parent Trap
Film Information
The Parent Trap is a 1998 American romantic comedy film directed and co-written by Nancy Meyers, and produced and co-written by Charles Shyer. It is a remake of the 1961 film of the same name and an adaptation of Erich Kästner’s 1949 German novel Lisa and Lottie (Das doppelte Lottchen). Dennis Quaid and Natasha Richardson star as a divorced couple who separated shortly after their identical twin daughters’ birth; Lindsay Lohan stars (in her film debut) as both twins, Hallie Parker and Annie James, who are fortuitously reunited at summer camp after being separated at birth. David Swift wrote the screenplay for the original 1961 film based on Lottie and Lisa. Swift is credited along with Meyers and Shyer as co-writers of the 1998 version.
All information in this section came from Wikipedia.
Clip Information
A young girl named Hal is getting picked up from summer camp by her father. When she arrives to his house, she sees the caretaker and meets her father’s new girlfriend, Meredith.
| Characteristic | Value |
|---|---|
| Format | MPEG-4 |
| File Size | 175.0 MiB |
| Duration | 425.008 |
| Frame Rate | 23.976 |
| Video Width | 1920 |
| Video Height | 1040 |
| Video BitRate | 3.3 MB/s |
| Audio Channels | 2 |
| Audio SamplingRate | 48000 |
| Audio BitRate | 128.5 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 |
|---|---|---|
| 6.530 | 7.771 | Thanks. |
| 12.244 | 14.861 | Oh, gosh. It's him. |
| 15.497 | 16.863 | Hey, Hal! |
| 18.584 | 20.120 | Welcome home, kiddo. |
| 25.007 | 28.296 | - Get into these arms, you little punk. - Dad. |
| 28.969 | 30.210 | Finally. |
| 36.435 | 40.054 | Oh, I hope you had a lousy time at that camp because you are not going back. |
| 40.230 | 41.846 | I missed you too much. |
| 43.484 | 45.146 | What happened to you, Hal? |
| 45.778 | 47.565 | Something's changed. |
| 48.572 | 49.813 | Are you getting taller? |
| 52.159 | 54.242 | So, what's up, Dad? |
| 54.411 | 56.573 | I mean, how's Chessy and everybody? |
| 56.747 | 59.706 | Great. Everybody's great. Can't wait to see you. |
| 60.334 | 63.953 | Eight weeks really is too long, Hal. A lot's been happening around here. |
| 64.129 | 66.371 | A lot's happened to me too, Dad. |
| 66.548 | 69.791 | I mean, I feel like I'm practically a new woman. |
| 71.637 | 73.754 | What's the matter? I cut myself shaving? |
| 73.931 | 78.175 | No, it's just... just seeing you for the first time. |
| 78.352 | 81.390 | I mean, you know... in so long. |
| 82.022 | 84.355 | You look taller to me too, Dad. |
| 84.775 | 86.437 | Come on, squirt. Let's get home. |
| 101.709 | 104.167 | Oh, by the way, thanks for all those newsy letters. |
| 104.336 | 107.044 | I'm really glad I bought you all that personalized stationery |
| 107.214 | 108.705 | you just had to have. |
| 108.882 | 111.795 | - We meant to write, Dad, but we just... - "We?" |
| 111.969 | 116.259 | Oh, me and my friend. I met this girl at camp and we got really close. |
| 116.432 | 117.468 | Great. |
| 117.599 | 119.215 | Practically like sisters. |
| 120.310 | 122.643 | - She was a lovely girl. - "Lovely girl?" |
| 123.522 | 125.605 | What, all of a sudden you're so proper? |
| 126.692 | 129.901 | - Still biting those nails, I see. - Dad, you noticed! |
| 130.070 | 133.654 | What do you mean, "noticed?" You've been biting them since you could chew. |
| 133.824 | 136.817 | But I've decided to stop, Dad. It's a horrid habit. |
| 137.035 | 138.947 | "Lovely girl," "horrid habit." |
| 139.121 | 142.159 | What did I do, send you to summer camp or finishing school? |
| 142.332 | 145.166 | And why do you keep saying "Dad" at the end of every sentence? |
| 145.335 | 148.328 | I'm sorry. I didn't realize I was doing it, Dad. |
| 149.673 | 151.039 | Sorry, Dad. |
| 152.676 | 156.465 | Do you want to know why I keep saying "Dad?" The truth? |
| 156.638 | 159.346 | 'Cause you missed your old man so much, right? |
| 160.309 | 161.516 | Exactly. |
| 161.685 | 166.851 | It's because in my whole life - I mean, you know, for the past eight weeks - |
| 167.024 | 171.143 | I was never able to say the word "Dad." Never. Not once. |
| 172.321 | 173.482 | And if you ask me, |
| 173.655 | 176.614 | a dad is an irreplaceable person in a girl's life. |
| 177.034 | 180.948 | Think about it. There's a whole day devoted to celebrating fathers. |
| 181.121 | 183.784 | Just imagine someone's life without a father. |
| 183.957 | 185.949 | Never buying a Father's Day card. |
| 186.126 | 188.118 | Never sitting on their father's lap. |
| 188.295 | 189.877 | Never being able to say, "Hi, Dad!" |
| 190.047 | 193.006 | or, "What's up, Dad?" or, "Catch you later, Dad." |
| 193.175 | 196.043 | I mean, a baby's first words are always "Dada," aren't they? |
| 196.220 | 200.464 | Let me see if I get this. You missed being able to call me "Dad?" |
| 200.641 | 203.725 | Yeah. I really have, Dad. |
| 211.276 | 213.563 | Oh, my God. Oh, my God. |
| 213.737 | 216.275 | Now you're starting to sound like your old self. |
| 240.347 | 243.090 | Hello, gorgeous! |
| 243.267 | 245.429 | Oh, look at you! |
| 245.602 | 247.764 | Oh, you grew. |
| 247.938 | 251.773 | Oh, we missed you so much. |
| 251.984 | 255.477 | Hey. Don't you dare let your old man talk you out of going back to camp, OK? |
| 255.571 | 257.107 | You're a growing girl. You need adventure. |
| 257.573 | 259.565 | - OK. - You hungry? |
| 260.576 | 262.283 | I made corn bread and chili. |
| 262.452 | 264.910 | - Why are you so quiet? What's wrong? - Nothing. |
| 265.080 | 267.037 | It's just I'm so happy to be home. |
| 267.207 | 270.120 | Hey, did I hear something about corn bread and chili? |
| 270.210 | 272.793 | Yeah, it's on the stove. So... |
| 273.463 | 277.503 | Something's changed about you, Hal. Hm. I can't put my finger on it, |
| 277.676 | 280.384 | but something about you has definitely changed. |
| 280.554 | 284.389 | Really? Well, it's just the same old me. |
| 285.475 | 287.512 | Honest. |
| 289.771 | 291.137 | Hi, Sammy! |
| 293.901 | 296.609 | What is wrong with you, you goofball? It's Hallie. |
| 296.778 | 299.896 | Oh, I probably just smell like camp, that's all. |
| 302.034 | 305.198 | What's the matter with you? It's like you didn't even recognize her. |
| 310.667 | 313.455 | Wow, it's even better than the pictures. |
| 315.672 | 319.211 | OK, kiddo. What do you want to do first, huh? |
| 319.384 | 324.425 | You want to eat and then unpack, or we could unpack and then eat. |
| 324.598 | 327.386 | Or we could eat while we unpack. |
| 327.559 | 329.642 | You mean I can eat in my room? |
| 330.228 | 332.720 | Yeah, it's a definite possibility. |
| 332.898 | 336.437 | Hey, Hal. When you're done, come on down. There's someone I want you to meet. |
| 336.693 | 339.356 | - OK, Dad. - OK, Hal. |
| 343.325 | 345.817 | Look at you, always eating. |
| 348.038 | 350.200 | - Did you tell her? - No. |
| 350.374 | 351.660 | Oh, Nicky. |
| 352.125 | 353.491 | Tell me what? |
| 354.836 | 358.830 | Hal, it is none of my business how your father makes a fool out of himself, OK? |
| 359.007 | 363.593 | - He's a big boy. He can do what he wants. - OK, OK. So, who is she? |
| 365.847 | 370.217 | Her name's Meredith Blake. She's a publicist from San Francisco. |
| 370.394 | 372.386 | Your father hired her at the beginning of the summer |
| 372.562 | 374.428 | to do some publicity for the vineyard. |
| 374.606 | 378.646 | If you ask me, she's doing a better job of selling herself than the grapes. |
| 378.819 | 382.028 | What do you mean? |
| 383.573 | 386.907 | Look, you and I both know your father's not some kind of suave, debonair, |
| 387.077 | 388.409 | bachelor-of-the-month type. |
| 388.578 | 392.037 | So I gotta ask myself, what does a hot young thing like that |
| 392.207 | 394.915 | see in a guy who walks around with his shirttail hanging out |
| 395.085 | 396.576 | and a cereal bowl full of chili. |
| 397.337 | 401.547 | Then I realized there's about a million reasons why that girl's giggling. |
| 403.510 | 406.378 | All of them are sitting at the Napa Valley Community Bank. |
| 406.596 | 409.054 | You mean, you don't think she even really likes him? |
| 409.224 | 411.307 | Ah, what do I know? But I tell you one thing, |
| 411.476 | 413.968 | this one's got your father eating out of the palm of her hand. |
| 414.187 | 417.897 | They do everything together. They ride together, they swim together. |
| 418.066 | 420.058 | They go out to eat dinner every night. |
| 420.235 | 424.400 | Do you know what? Meet her. See for yourself. Don't let me influence you. |
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 | 0.718 | 0.551 | 1.059 | 0.387 |
| Timepoint | Variance | 0.317 | 0.277 | 0.367 | 0.171 |
| Residual | Variance | 0.819 | 0.807 | 0.833 | 0.442 |
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) | 0.968 | 0.963 | 0.972 | 78 | Relative |
Below, we can also visualize the posterior distributions of each of these parameters. Values with higher posterior density are more probable.
