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Re-Framing the Picture presents research from the “Gender Equity Policy (GEP) Analysis” project. Building on a substantial corpus of studies and data evidencing the long history of gender inequity in the international film sector, the international team of researchers located in Germany, the UK and Canada has designed an innovative, interdisciplinary approach with the aim to “assess, understand, and model the impact of gender equity policies (GEP) in the film industry”. To re-frame the picture of gender equity in film industries, they studied the policies, practices and norms that constrain equitable industry structures.
The report presents in-depth insights from three different perspectives: The Policies, the Number, and the Networks. The researchers combine an in-depth analysis of existing gender equity policies, using a specifically designed policy analysis framework and interviews with industry experts, with a quantitative analysis that looks more closely at industry data and the structures it reveals. Finally, a social network approach helps understand how different interventions might reduce the dominance of men in the three case film industries (Germany, the UK and Canada) by modelling the impact of hypothetical policies.
They find that 1) fighting gender inequity remains a long-haul endeavour, 2) no one-size-fits-all solution exists, 3) policies need to be intentional and structural, 4) and we should expand the reach of policies that make access to, for instance, funding or awards nominations dependent on progress towards gender equity.
This report offers a comprehensive overview of the technical and methodological aspects of the network analysis segment within the GEP Analysis project. It describes in detail the process of preparing and examining collaboration networks within the three case study countries: Germany, the UK, and Canada. The report addresses key methodological considerations for employing both "What is?" and "What if?" analyses to simulate the effects of various hypothetical equity interventions on the networks. We report on the three steps involved in preparing this analysis: adapting the annotated Lumiere dataset (see Prommer, Radziwill, and Ehrich 2024) into structured tables for films, people, and their respective roles, followed by disaggregating these datasets for each country and then constructing collaboration networks using affiliation and adjacency matrices. The report then elaborates on the diverse analytical approaches applied to these networks, including assessments of gendered homophily, recurring cohesion, and key dyads. It concludes by presenting how we undertook an evidence-based evaluation of the intervention impacts on the networks through centrality analysis, focusing particularly on measures such as degree, eigenvector, betweenness, and closeness.