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Lifemark: Themes, Reception & Production
Lifemark is a 2022 American Christian drama film by director Kevin Peeples, adapting the true story of the adoption of David Scotton, previously depicted in the 2018 short documentary film I Lived on Parker Avenue. It tells the story of how a young man's mother considered aborting him, but instead made an adoption plan for him, and later reconnected with…
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Lifemark topic overview
The analysis highlights Themes, Reception and Production as prominent areas in the source structure around Lifemark.
Related topics
26
Source areas
4
Connected nodes
30
Extracted relationships
90
Concept neighborhoods
11
Bridge connections
30
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Overview · 10 topics
Reception · 7 topics
Production · 6 topics
Themes · 3 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Box office
$5.4 million
Cinematography
Bob Scott
Country
United States
Directed by
Kevin Peeples
Distributed by
Fathom Events
Edited by
Bill Ebel · Alex Kendrick · Kevin Peeples
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Lifemark connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Lifemark shows recurring relationship patterns in the source. For example, Lifemark → Alex Kendrick, Anti-abortion, Baptist Press, Cameron, Chris Fabry, Coles, Crosswalk, David's, Fireproof, For, In, ISBN, Kendricks, Kirk Cameron, Live Action, Lived, Lock-gray-alt-2, Lock-green, Lock-red-alt-2, Long Another extracted example is Lifemark → After, Bloomberg, Both Stephen Kendrick, Cameron, Cameron's, Catholic, Congress, David Scotton's, Dobbs, Jesuit High School, Kendrick Brothers, Life, Lived, Louisiana Pro-Life Oratory Contest, Louisiana Right, March, New Orleans, Parker Avenue, Scotton, Stephen Kendrick. Use these groups to spot repeated connection types before inspecting the individual relationships.
Lifemark
Top relations
related to Production· 24
Lifemark → Alex Kendrick, Anti-abortion, Baptist Press, Cameron, Chris Fabry, Coles, Crosswalk, David's, Fireproof, For, In, ISBN, Kendricks, Kirk Cameron, Live Action, Lived, Lock-gray-alt-2, Lock-green, Lock-red-alt-2, Long
related to Themes· 22
Lifemark → After, Bloomberg, Both Stephen Kendrick, Cameron, Cameron's, Catholic, Congress, David Scotton's, Dobbs, Jesuit High School, Kendrick Brothers, Life, Lived, Louisiana Pro-Life Oratory Contest, Louisiana Right, March, New Orleans, Parker Avenue, Scotton, Stephen Kendrick
Starring· 7
Lifemark → Alex Kendrick, Dawn Long, Justin Sterner, Kirk Cameron, Marisa Hampton, Raphael Ruggero, Rebecca Rogers Nelson
related to Release· 6
Lifemark → August, Fathom Events, It, New Orleans, On September, September
Production companies· 4
Lifemark → Faithstep Films, Kendrick Brothers, Kirk Cameron Entertainment, WTA Media
related to Box office· 4
Lifemark → Barbarian, Brahmāstra, Part One, Shiva
Edited by· 3
Lifemark → Alex Kendrick, Bill Ebel, Kevin Peeples
Written by· 3
Lifemark → Alex Kendrick, Kevin Peeples, Stephen Kendrick
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 90 structured relationships around Lifemark. Examples in this analysis include Lifemark → Box office → $5.4 million and Lifemark → Cinematography → Bob Scott. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Lifemark
Box office
$5.4 million
1.00
infobox
Lifemark
Cinematography
Bob Scott
1.00
infobox
Lifemark
Country
United States
1.00
infobox
Lifemark
Directed by
Kevin Peeples
1.00
infobox
Lifemark
Distributed by
Fathom Events
1.00
infobox
Lifemark
Edited by
Bill Ebel
1.00
infobox
Lifemark
Edited by
Alex Kendrick
1.00
infobox
Lifemark
Edited by
Kevin Peeples
1.00
infobox
Lifemark
Language
English
1.00
infobox
Lifemark
Music by
Kyle McCuiston
1.00
infobox
Lifemark
Produced by
Aaron Burns
1.00
infobox
Lifemark
Produced by
Justin Tolley
1.00
infobox
Lifemark
Production companies
Faithstep Films
1.00
infobox
Lifemark
Production companies
WTA Media
1.00
infobox
Lifemark
Production companies
Kirk Cameron Entertainment
1.00
infobox
Lifemark
Production companies
Kendrick Brothers
1.00
infobox
Lifemark
Release dates
August 28, 2022 (2022-08-28) (New Orleans)
1.00
infobox
Lifemark
Release dates
September 9, 2022 (2022-09-09) (United States)
1.00
infobox
Lifemark
Running time
120 minutes
1.00
infobox
Lifemark
Starring
Kirk Cameron
1.00
infobox
Lifemark
Starring
Alex Kendrick
1.00
infobox
Lifemark
Starring
Rebecca Rogers Nelson
1.00
infobox
Lifemark
Starring
Dawn Long
1.00
infobox
Lifemark
Starring
Justin Sterner
1.00
infobox
Lifemark
Starring
Marisa Hampton
1.00
infobox
Lifemark
Starring
Raphael Ruggero
1.00
infobox
Lifemark
Written by
Stephen Kendrick
1.00
infobox
Lifemark
Written by
Alex Kendrick
1.00
infobox
Lifemark
Written by
Kevin Peeples
1.00
infobox
Lifemark
is a
2022 American Christian drama film by director Kevin Peeples
0.90
text
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Lifemark bring nearby vocabulary together. In this analysis, examples include Adoption, Events and Fathom. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Lifemark
Adoption
Events
Fathom
New
Orleans
Peeples
Avenue
Lived
Parker
Released
Stephen
David
lifemark
Adoption
Events
Fathom
New
Orleans
Peeples
Avenue
Lived
Parker
Released
Stephen
David
drama film
Kendrick
Story
Cameron
Adoption
Avenue
Lived
Parker
Stephen
Brothers
Time
Lifemark
True
adoption
Melissa
Stephen
David
Film
Lifemark
Story
Executive
Media
Peeples
Young
Kendrick
Release
kirk cameron
Kirk
David's
Peeples
Film
Alex
Colton
Kendrick
Raphael
Ruggero
Brothers
Time
Stephen
alex kendrick
Brothers
Kendrick
Stephen
Peeples
Executive
Raphael
Ruggero
Cameron
Kirk
Time
Story
First
kendrick brothers
Brothers
Kendrick
Raphael
Ruggero
Stephen
Time
Executive
First
Peeples
Story
Release
Kirk
fathom events
Events
Fathom
September
Release
Released
Lifemark
Long
Media
New
Orleans
Peeples
Theatrical
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Lifemark, one of the stronger structural bridges in this analysis connects Lifemark with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Lifemark
Nodes31
Edges30
Triples90
Avg. degree1.94
Density0.064516
Components1
Source & methodology
TTTA analyzes the structure around Lifemark to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Themes, Reception & Production, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
