Dinâmicas de um cinema mainstream
Bibliographic record
Abstract
O presente relatório reporta-se ao estágio efectuado na empresa marblemedia, sediada em Toronto no Canadá. A experiência prévia de uma mobilidade em Toronto, a par da recente chegada de investimento internacional por parte de canais de streaming a Portugal, levou-me a levantar várias questões dentro do escopo da prática cinematográfica mainstream e o seu impacto noutras formas de cinema aqui praticadas - quais os efeitos que esta nova onda de produção audiovisual poderá ter em Portugal, quais os desafios da produção mainstream e o que com ela podem aprender as práticas cinematográficas de menor escala. O estágio em development ajudou na reflexão sobre o impacto que um sistema de networking forte, várias fases de desenvolvimento e um alvo narrativo específico têm num projecto audiovisual.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.005 | 0.005 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.006 | 0.002 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".