Embracing collaborations between festivals and higher education: A case study of the ‘Decolonising film festivals and curating African cinemas’ networking event at King’s College London
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
In recent years, there has been an increasing awareness of the social responsibility of Higher Education, encouraging knowledge exchange initiatives and impact. This often involves the collaboration with the industry, embracing a curatorial turn in the pedagogic approach. This self-reflexive case study shares the learning, challenges, and opportunities offered by the organisation of a networking event named ‘Decolonising Film Festivals and Curating African Cinemas.’ In so doing, it seeks to offer insights into one such forms of collaboration between Higher Education and the Industry. Through an analysis of the feedback by participants and the discussions at a round-table on decolonising, it highlights the horizontalism and distended environment of the experience, fostering a safe and fruitful discussion that engages in a call to action towards to sought change. In public facing events hosted at the university, the classroom becomes a brainstorming exercise in collaboration. The curatorial turn adopted through collaboration bridges theory and practice. Itlurifies voices in the learning and teaching experience, and collaboratively rehearses potential creative solutions to real life scenarios. It promotes social justice, engaging all participants in the process.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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