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Record W7132950405

Producing Producers: The Transformative Potential of Film Production Education

2024· dissertation· W7132950405 on OpenAlexaboutno aff
Karen Ella Harnisch

Bibliographic record

VenueTSpace · 2024
Typedissertation
Language
FieldArts and Humanities
TopicArtistic and Creative Research
Canadian institutionsnot available
Fundersnot available
KeywordsTransformative learningPower (physics)Production (economics)Function (biology)The artsFilm directorKnowledge productionNeoliberalism (international relations)Filmmaking
DOInot available

Abstract

fetched live from OpenAlex

In this paper, I seek to uncover what a more whole, human-centred, and socially just pedagogy of film production might look like for emerging filmmakers enrolled in postsecondary film production programs (“film schools”). The prevalence of moving images in our daily lives is more significant than ever before, and so too is their power to shape culture and society at large. From my vantage point as a former film student, practising independent film producer, student of critical pedagogy and current faculty member in a Canadian film school, I engage in an analysis of Toronto Metropolitan University’s The Creative School—Image Arts through the lens of my own experience, covering curriculum, institutional policies, and culture, to illustrate how film schools function to “produce producers” within our neoliberal and capitalist world order. I then provide an account of my own evolving approach to an alternative method for film production education, one which applies critical pedagogical philosophies and methodologies towards a future I imagine in which students become producers who have the courage, critical thinking skills, and wellbeing to change the world through their filmmaking.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.028
GPT teacher head0.352
Teacher spread0.324 · 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.

Study designQualitative
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

Citations0
Published2024
Admission routes1
Has abstractyes

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