Longing for Homes Where Mangroves Used to Grow: Narratives of Internally Displaced Persons in Southern Philippines
Bibliographic record
Abstract
This master's thesis project, involving three months of ethnographic fieldwork using decolonial Filipino methodology and methods, is an exploration of armed conflict induced displacement in Zamboanga City (Mindanao, Philippines).The stories shared by eleven research participants from four barangays, interrogate the dominant representations of internally displaced persons (IDPs) as voiceless victims in need of rescue and reliant on humanitarian assistance.Using bahala na or agency specific to the Filipino cultural context, IDP women and gender diverse individuals challenged the conventional understandings of agency to recognize decision-making beyond individual choices.The findings highlight that the enactment of agency by Filipino IDPs in southern Philippines is shaped by class and ethno-religious-linguistic identities, revealing the inherently unequal and unruly patterns of mobility.These factors also shape their access to humanitarian emergency responses.In contrast to Catholic IDPs who had no concerns over their daily needs for survival, poor Muslim IDPs experienced food insecurity, malnutrition, and communicable diseases.Poor Muslim IDPs exercised bahala na, a form of situated agency, by avoiding asking for better humanitarian assistance, which risks them being portrayed as complaining and ungrateful.This demonstrates their awareness of how humanitarian systems function and managing their vulnerabilities in different ways.Moreover, they nuanced the architecture of IDP camp sites as more than just a space of confinement by practicing hope and imagining future possibilities.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.011 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".