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Record W3164069641 · doi:10.1080/0967828x.2021.1915174

Owners and occupants: mapping the Blaan of Malbulen (Davao Occidental, Philippines)

2021· article· en· W3164069641 on OpenAlexfundno aff
Antoine Laugrand

Bibliographic record

VenueSouth East Asia Research · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSoutheast Asian Sociopolitical Studies
Canadian institutionsnot available
FundersFonds de Recherche du Québec-Société et Culture
KeywordsProclamationIndigenousGovernment (linguistics)Citizen journalismLand tenureSociologySpace (punctuation)Land registrationLand rightsOccupancyEnvironmental ethicsEthnologyGeographyPolitical scienceLawArchaeology

Abstract

fetched live from OpenAlex

Since the proclamation of the Indigenous People’s Rights Act in 1997, the government of the Philippines has started to issue ancestral domain land titles, in an attempt to outline within its own legal framework how indigenous peoples should deal with land claims, disputes and ownership. Drawing on eleven months of fieldwork (2015–2019), this article describes the notions of ownership (fun) and occupancy (mnè) among the Blaan of Malbulen, and discusses whether their own views of the land are compatible with those proposed by the government. In fact, Blaan do not consider themselves to be the first inhabitants of the land. This status belongs to the fun spirits, its true owners, whose approval is needed to be accepted as an occupant, i.e. to build a house, to hunt, to cut down a tree or to cross a river. Humans are here believed to be mere occupants of the land. Places, humans and nonhuman beings are interwoven in ways that we have investigated through participatory and digital cartography. Mapping these beings reveals an interactive landscape. Its epistemology allows the anthropologist to question their own views and representations of space, and to understand how they may differ from local perspectives.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.412
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.233
GPT teacher head0.415
Teacher spread0.182 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2021
Admission routes1
Has abstractyes

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