Movielogr

movie poster

Rating: 7.5 stars

Seen 1 time

Seen on: 01/22/2011

View on: IMDb | TMDb

Animal Kingdom (2010)

Directed by David Michôd

Crime

Most recently watched by sensoria, noahphex

Overview

Joshua “J” is taken in by his extended family after his mother dies of an overdose. The clan, ruled by J’s scheming grandmother, is heavily involved in criminal activities, and J is soon indoctrinated into their way of life. But J is given a chance to take another path when a cop seeks to help him.

Rated R | Length 113 minutes

Actors

Guy Pearce | Daniel Wyllie | Joel Edgerton | Sullivan Stapleton | Luke Ford | Jacki Weaver | Anthony Hayes | Anna Lise Phillips | Susan Prior | Ben Mendelsohn | Andy McPhee | Mirrah Foulkes | Kieran Darcy-Smith | David Michôd | Clayton Jacobson | James Frecheville | Josh Helman | Laura Wheelwright | Tim Phillipps | Justin Rosniak | Jacqueline Brennan | Dom Phelan | Anthony Ahern | Michael Vice | Jack Heanly | Christina Azucena | Ben Ouwehand | Bert LaBonté | James Saunders | Chris Weir | Brenda Palmer

Viewing Notes

I had heard a lot about this movie, so was happy to find it at one of my local RedBoxes. It didn’t disappoint.

Animal Kingdom is definitely not for everyone. The pacing stays at an uneasy simmer for the entire length of the film; there are no pinnacles or low points. It literally maintains the same pace throughout.

As fellow Tallyteer Noahphex pointed out on Twitter, “it was like watching the lost end of a movie that never finished.” He’s right. However, for me that was a positive, not the negative it was for him. The movie doesn’t beat you over the head with exposition, it leaves you to guess at all the stuff swirling around the current events, never explaining them, never establishing any ulterior motives other than those onscreen, and never attempting to sway you to feel one way or the other about any of the characters.

What you’re left with is a horrifyingly unsettling piece of film. The violence and situations depicted feel queasily real because there is no epic crescendo of music every time the violence spills over; no slow motion gun battles; no masterful foleying of bigger-than-left gun shots.

The violence is astonishingly sudden, flat, banal, monochromatic; Because that’s the way it is in real life. People aren’t good or bad in real life because they’re often both, depending on the situation.

Animal Kingdom does a great job of showing how average and every day crime is; how it insinuates itself into the normal fabric of life and what sorts of profound effects it can have.

Comments

No comments yet. Log in and be the first!

  BENCHMARKS  
Loading Time: Base Classes  0.0014
Controller Execution Time ( Members / Movie Detail )  0.0257
Total Execution Time  0.0272
  GET DATA  
No GET data exists
  MEMORY USAGE  
538,552 bytes
  POST DATA  
No POST data exists
  URI STRING  
members/sensoria/movie_detail/2162
  CLASS/METHOD  
members/movie_detail
  DATABASE:  movielogr_dev (Members:$db)   QUERIES: 17 (0.0058 seconds)  (Hide)
0.0004   SELECT 1
FROM 
`ml_sessions`
WHERE `id` = 'e43360766a95014cfaef73516254751c5561172d'
AND `ip_address` = '216.73.216.111' 
0.0002   SELECT GET_LOCK('e85a7d1255521594ad4e8a5264f1d53b'300) AS ci_session_lock 
0.0003   SELECT `data`
FROM `ml_sessions`
WHERE `id` = 'e43360766a95014cfaef73516254751c5561172d'
AND `ip_address` = '216.73.216.111' 
0.0003   SELECT `username`, `user_id`
FROM `ml_users`
WHERE `username` = 'sensoria'
 
LIMIT 1 
0.0004   SELECT `MV`.`title_id`, `MT`.`tmdb_id`
FROM `ml_movie_titles` `MT`
LEFT JOIN `ml_movies` `MVON `MV`.`title_id` = `MT`.`title_id`
WHERE `MV`.`movie_id` = 2162
AND `MV`.`user_id` = 1
 LIMIT 1 
0.0003   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 1
 LIMIT 1 
0.0002   SET SESSION group_concat_max_len 12288 
0.0017   SELECT `MV`.`title_id`, `MV`.`movie_id`, COUNT(DISTINCT MV.title_id) AS mv_count, `title`, `prefix`, `year`, `imdb_link`, `MT`.`imdb_id`, `MT`.`tmdb_id`, `overview`, `certification`, `runtime`, `genre_id_01`, `genre_id_02`, `genre_id_03`, MAX(MP.filename) AS filename, `G1`.`genre_nameAS `genre_name_01`, `G2`.`genre_nameAS `genre_name_02`, `G3`.`genre_nameAS `genre_name_03`, `date_viewed`, `notes`, `MV`.`format_id`, `FMT`.`format_name`, `MV`.`source_id`, `SRC`.`source_name`, `MV`.`device_id`, `DVC`.`device_name`, `MV`.`rating_id`, `STR`.`star_rating`, `rewatch`, GROUP_CONCAT(DISTINCT(DR.director_name) ORDER BY DR.tmdb_director_id ASC SEPARATOR "|") AS directorsGROUP_CONCAT(DISTINCT(DR.tmdb_director_id) ORDER BY DR.tmdb_director_id ASC SEPARATOR "|") AS director_idsGROUP_CONCAT(DISTINCT(ACT.actor_name) ORDER BY ACT.tmdb_actor_id ASC SEPARATOR "|") AS actorsGROUP_CONCAT(DISTINCT(ACT.tmdb_actor_id) ORDER BY ACT.tmdb_actor_id ASC SEPARATOR "|") AS actor_ids
FROM 
`ml_movie_titles` `MT`
LEFT JOIN `ml_movies` `MVON `MV`.`title_id` = `MT`.`title_id`
LEFT JOIN `ml_movie_posters` `MPON `MV`.`title_id` = `MP`.`title_id`
LEFT JOIN `ml_lookup_genres` `G1ON `MV`.`genre_id_01` = `G1`.`genre_id`
LEFT JOIN `ml_lookup_genres` `G2ON `MV`.`genre_id_02` = `G2`.`genre_id`
LEFT JOIN `ml_lookup_genres` `G3ON `MV`.`genre_id_03` = `G3`.`genre_id`
LEFT JOIN `ml_lookup_formats` `FMTON `MV`.`format_id` = `FMT`.`format_id`
LEFT JOIN `ml_lookup_sources` `SRCON `MV`.`source_id` = `SRC`.`source_id`
LEFT JOIN `ml_lookup_devices` `DVCON `MV`.`device_id` = `DVC`.`device_id`
LEFT JOIN `ml_movie_ratings_ten_star` `STRON `MV`.`rating_id` = `STR`.`rating_id`
LEFT JOIN `ml_junction_movies_directors` `JMDON `MT`.`title_id` = `JMD`.`title_id`
LEFT JOIN `ml_directors_new` `DRON `JMD`.`tmdb_director_id` = `DR`.`tmdb_director_id`
LEFT JOIN `ml_junction_movies_actors` `JMAON `MT`.`title_id` = `JMA`.`title_id`
LEFT JOIN `ml_actors_new` `ACTON `JMA`.`tmdb_actor_id` = `ACT`.`tmdb_actor_id`
WHERE `MV`.`movie_id` = 2162
AND `MV`.`user_id` = 1
ORDER BY 
`date_viewedDESC 
0.0002   SET SESSION group_concat_max_len 1024 
0.0003   SELECT `event_title`, `JME`.`event_id`
FROM `ml_junction_movies_events` `JME`
LEFT JOIN `ml_movie_events` `EVON `JME`.`event_id` = `EV`.`event_id`
WHERE `JME`.`movie_id` = 2162 
0.0002   SELECT `tag`, `JMT`.`tag_id`
FROM `ml_junction_movies_tags` `JMT`
LEFT JOIN `ml_tags` `MTON `JMT`.`tag_id` = `MT`.`tag_id`
WHERE `JMT`.`movie_id` = 2162 
0.0002   SELECT `star_rating`
FROM `ml_users`
WHERE `ml_users`.`user_id` = 1
 LIMIT 1 
0.0002   SELECT `rating_id`
FROM `ml_movies` `MV`
WHERE `MV`.`user_id` = 1
AND `MV`.`movie_id` = 2162
 LIMIT 1 
0.0002   SELECT `star_rating`
FROM `ml_movie_ratings_ten_star` `MR`
WHERE `MR`.`rating_id` = '17'
 
LIMIT 1 
0.0003   SELECT `MV2`.`date_viewed`, `MV2`.`movie_id`
FROM `ml_movies` `MV`
LEFT JOIN `ml_movies` `MV2ON `MV`.`title_id` = `MV2`.`title_idAND `MV`.`user_id` = `MV2`.`user_id`
WHERE `MV`.`user_id` = 1
AND `MV`.`movie_id` = 2162
GROUP BY 
`MV2`.`movie_id`
ORDER BY `MV2`.`date_viewedDESC 
0.0002   SELECT `comment_id`, `comment`, `commenter_id`, `timestamp`, `username`, `email_address`
FROM `ml_comments` `MC`
JOIN `ml_users` `MUON `MU`.`user_id` = `MC`.`commenter_id`
WHERE `movie_id` = 2162 
0.0002   SELECT `username`, `date_viewed`, `MV`.`movie_id`
FROM `ml_users` `MU`
JOIN `ml_movies` `MVON `MV`.`user_id` = `MU`.`user_id`
JOIN `ml_movie_titles` `MTON `MT`.`title_id` = `MV`.`title_id`
WHERE `MT`.`title_id` = 1965
ORDER BY 
`date_viewedDESC
 LIMIT 10 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)