Costs and benefits of goal advancement: organisational sustainability in LGBT NGOs in post-same-sex marriage Canada
Bibliographic record
Abstract
What happens when organisations get what they want? How do external shifts which advance organisational goals affect survival? Existing literature on goal advancement tends to conceptualise it as a normatively ‘good’ thing and focuses on how to attain it. What remains undertheorised is how organisations can paradoxically create problems for themselves when they get what they want. This puzzle is particularly important to understand vis-à-vis the third sector and policy change, as states increasingly rely on nongovernmental organisations (NGOs) for social policy provision. Insofar as ‘getting what you want’ via policy change can have unintended consequences for organisational sustainability, it has direct implications for social policy, governance, and the communities these NGOs serve. Despite its growing policy relevance, however, this puzzle remains understudied. This doctoral thesis fills this gap by examining the case of LGBT NGOs in Calgary, Montreal, and Toronto in the context of long-term same-sex marriage legalisation, a policy change widely seen as socially and politically progressive for LGBT equality and one advancing LGBT NGO goals. Drawing upon organisational management, development management, resource dependence, and organisational ecology literatures, this policy-relevant thesis advances scholarly understandings of organisational continuity. Across city cases, I find that structural forces, organisational factors, and policy shift shape resource availability, resource mobilisation, and resource dependencies. But LGBT NGOs are not simply acted upon, instead exercising agency through adaptive behaviour—illustrating this, I introduce a new concept of organisational hibernation, an adaptation to resource scarcity or an evolving policy domain to maintain continuity. But not all adaptations are beneficial: in the post-marriage political economic context, adaptations made for immediate persistence may negatively impact the sustainability of the LGBT NGO sector. Goal advancement via policy change can be costly with broader impacts for continuity of policy provision and LGBT interest representation in policy processes. This thesis contributes to debates in social policy, NGO studies, LGBT politics, and Canadian politics.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.019 | 0.012 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".