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Record W304411541

Realer Than Reel: Global Directions in Documentary

2006· article· en· W304411541 on OpenAlexaboutno aff
Carol Sue Humphrey

Bibliographic record

VenueJournalism & Mass Communication Quarterly · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsnot available
Fundersnot available
KeywordsCommodificationMedia studiesSociologyTelevision studiesAdvertisingBusinessEconomics
DOInot available

Abstract

fetched live from OpenAlex

Hogarth, David. Reader than Reel: Global Directions in Documentary. Austin: University of Texas Press, 2006. 198 pp. $19.95 David Hogarth's look at the fate of the documentary in the era of global media markets confronts a transitional moment in the history of the genre. His treatment is not a reflective, systematic study but a look at a media landscape in flux. In his introduction Hogarth shifts the reader's expectations. He redefines the genre and coins television, a category in which he includes all forms of nonfiction commercial programming. A Canadian scholar, he writes from a largely transnational perspective about the major trends that impact television programming markets today-digital technologies, corporate conglomeration, media convergence, and global hypercommercialism-and considers how factual television producers, distributors, and audiences are responding to and shaping these developments. His main point is that the surge of nonfiction programming in the global media market requires reconsideration of our idea of a documentary. He anticipates the social repercussions of actuality-based content that is digitally created and globally commodified. Hogarth's redefined documentary is no longer rooted in a national, public service identity. Drawing from largely Canadian statistics, he demonstrates that funding for the classic, long-form documentary dropped markedly during the 1990s. This was concurrent with the corporate media buyouts that consolidated global nonfiction-bascd networks within the corporate media giants and the rise of commercial documentary offerings by their media distribution outlets-e.g., the Discovery Channel and the History Channel. He worries that while nonfiction programming formats evoke the tradition of independent, journalistic documentary, the corporate priorities stress successful marketing, not integrity, in representing reality and facts. Hogarth attributes these changes in part to the competitive demands of the global marketplace that have spurred a buying-spree by distributors who want to acquire nonfiction format programming because it is relatively inexpensive and sufficiently popular with viewers. He argues that this trend raises several ethical concerns. He notes that the proliferation of global cultural products evoke fears that cultural distinctions arc evaporating into a homogenous global brew where facts, historical truth, and images float without anchors to actual events, authentic images, and locations. He believes this dislocation disturbs cultural integrity and blurs borders between fact and fiction. The foreigner as a producer model leads to interpretation of local realities from an outsider's perspective and reduces the authenticity and diversity of home-grown perspectives. He cynically describes practices like those of the corporate factual television giant Discovery Network International (DNI). Its executives claim that in exporting their branded programming worldwide they strive to be relevant to local audiences by providing programming templates to accommodate customized, local content-a process known as globalizarion. He doubts that these tidy templates provide an adequate forum for local perspectives. …

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.118
Threshold uncertainty score0.394

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0030.004
Scholarly communication0.0160.020
Open science0.0020.004
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.1180.044

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 head0.017
GPT teacher head0.316
Teacher spread0.299 · 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 source (direct Gemma or distilled Codex), 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

Citations7
Published2006
Admission routes1
Has abstractyes

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