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Record W2911382798 · doi:10.3138/jrpc.2016-0007

“Take My Film and Let It Be”: Critics and Consecration in Faith-Based Cinema

2018· article· en· W2911382798 on OpenAlexvenueno aff
Rick Clifton Moore

Bibliographic record

VenueJournal of Religion and Popular Culture · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsMainstreamConsecrationFaithSociologyAestheticsMovie theaterCriticismTasteConversationMedia studiesArtLiteratureLawEpistemologyPhilosophyTheologyPolitical sciencePsychology

Abstract

fetched live from OpenAlex

This study represents an attempt to better understand how religion fits into the discourse between filmmakers and critics who review their work. The author uses the thought of French sociologist Pierre Bourdieu—specifically, his notions of cultural capital and consecration—to analyze mainstream reviewers’ responses to the motion pictures of Alex and Stephen Kendrick, two brothers who have endeavoured to make mainstream films that “communicate the gospel without compromise.” In analyzing reviews of the Kendricks’ five “faith-based” films, a consistent pattern of comments from the reviewers is evident, a pattern that expresses negativity toward the brothers’ aesthetic, social, and theological choices. Also apparent, though, is an ongoing conversation in which the filmmakers seem to recognize the importance of listening to reviewers, even if the filmmakers have not toned down their message. Reviewer comments for War Room, a film whose budget and box office success have pushed it into the mainstream in spite of its very religious content, show that the filmmakers not only appear aware of the concerns expressed by critics but also persist in their attachment to religious filmic content that may not appeal to secular critics who, in Bourdieu’s terms, have a high level of “cultural capital.” With Bourdieu’s work in mind, the study suggests that many of the disagreements between the filmmakers and reviewers have as much to do with religion, class, and taste as they do aesthetics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.469
Threshold uncertainty score0.231

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.308
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2018
Admission routes1
Has abstractyes

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