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Record W1858494030 · doi:10.14288/1.0089873

Imagining igorots : performing ethnic and gender identities on the Philippine Cordillera Central

2009· book· en· W1858494030 on OpenAlexaff
Deirdre McKay

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typebook
Languageen
FieldSocial Sciences
TopicPhilippine History and Culture
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEthnic groupGender studiesGeographyPolitical scienceEconomic geographySociologyAnthropology

Abstract

fetched live from OpenAlex

Gender, ethnicity, landscape, nation — none exist as real places or categories but as the effect of various practices that bring bodies and spaces into being. This dissertation attempts to rethink concepts of gender and ethnicity away from traditional ideas of places and cultures. To do so, it embeds them within social practice as performatives emerging from the colonial encounter. The text reports on ethnographic field research among Igorot communities originating on the Philippine Cordillera Central. By applying Burawoy's extended case method to local narratives of identity, history and migration, the argument extends theorizations of locality and gendered subaltern agency. The analysis locates the imaginative work that produces local places, subject positions and subjectivities within a palimpsest of transnational discourses, outmigration and local innovations. Locality and subjectivity are shown to be embedded in and produced by both local experiences and global identifications of difference originating within colonial histories. In narrating and dis-placing colonial stories of places and people, the power of these discourses on gender and ethnicity to constitute subjects with coherent names is challenged. By tracing the-persistence of the colonial past in the apparently de-colonized present, this text suggests that the concepts of performance and naming can help to make greater theoretical and empirical sense of the (post)colonial world.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.733
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.213
Teacher spread0.187 · 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; a candidate call from one teacher head, not a consensus.

Study designOther design
Domainnot available
GenreOther

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

Citations3
Published2009
Admission routes1
Has abstractyes

Explore more

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