Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Aim/Purpose: The purpose of this research is to identify within the arts and culture sphere and, more specifically, the film industry, what kinds of employment opportunities are afforded (or not) to BIPOC communities, specifically Black communities in Quebec? How are Black communities in Quebec represented in the local film industry, both in front of and behind the camera? In what ways are Black stories being told, how are they being represented, and how many Black people are actually telling their own stories across media? Background: This paper attempts to lay out the general state of the film industry within Canada, focusing on Quebec’s Black communities. Methodology: Using an intersectional approach, I draw from a wide range of ages, backgrounds, languages, and experiences that will cover the range of roles affected at each level of the industry through in-depth interviews. This will be accompanied by a self-reflexive comparison to my experiences navigating the film industry during university and after within the labor market. Findings: The results of this research demonstrate that there is a distinct divide between how Black communities see themselves represented in front of and behind the screen within different parts of the film industry. Impact on Society: Due to exclusionary practices and lack of investment in BIPOC storytelling, the ways in which BIPOC creatives and specifically those in the Black community have to find ways to navigate outside mainstream film industry circuits to create.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it