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Record W3094437966

Sex and ancestry estimation methods in modern Filipino crania (Mga paraang pagsusuri ng kasarian at lahi mula sa bungo ng mga kasalukuyang Pilipino)

2020· dissertation· tl· W3094437966 on OpenAlex
Matthew C. Go

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIDEALS (University of Illinois Urbana-Champaign) · 2020
Typedissertation
Languagetl
FieldSocial Sciences
TopicGender Studies in Language
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Illinois at Urbana-ChampaignAmerican Academy of Forensic Sciences
KeywordsCraniaMedicineAnatomy
DOInot available

Abstract

fetched live from OpenAlex

Diversity has been a central focus within anthropology since its disciplinary origins. In forensic anthropology this has come to include understanding the wide range of physical variation present in the human species across the spectra of geographies, generations, life stages, sexes, and different lived experiences for the purposes of estimating group membership and identification. Research has particularly flourished in the Americas, Europe, South Africa, and Australia largely owing to a history of prominent scholars, well-equipped university graduate programs and facilities, and large skeletal reference collections and databases that characterize these regions. Relative to these areas and the populations studied therein, East and Southeast Asia have received less scholarly attention. This is surprising given that the diversity found in these regions represents a substantial portion of both worldwide population and variation and that these regions are home to many forensically significant (i.e., vulnerable) groups. Filipinos, whom in particular have received little to no attention, are brought to focus here given the convergence of demographic, geographic, and historical factors that greatly contribute to the need for anthropological identification of human remains from this population. The current study ameliorates this problematic research gap by: (1) exploring methods of metric and nonmetric Asian sex and ancestry estimation that incorporate modern Filipino samples, specifically concentrating on the cranium, and (2) bolstering collaborative research capacities through the creation of a novel and internationally accessible Filipino reference collection from skeletons in the Philippines. The three methods explored include: (1) the optimized summed scored attributes (OSSA) method for sex estimation, (2) discriminant function analysis (DFA) via the Fordisc 3.1 (FD3) software for ancestry estimation, and (3) multivariate probit regression (MPR) for ancestry estimation.\nFirst, the OSSA method originally intended for use in ancestry estimation was appropriated to test the applicability of the method for sex estimation using five cranial traits given the methodological similarities between classifying sex and ancestry. A large sample of documented crania from Japan and Thailand (n = 744 males, 320 females) are used to develop a heuristically selected OSSA sectioning point of ≤1 separating males and females. This sectioning point is validated using a holdout sample of Japanese, Thai, and Filipino (n = 178 males, 82 females) individuals. The results indicate a general correct classification rate of 82% using all five traits, and 81% when excluding the mental eminence.\nSecond, ancestry classification trends of the Filipino sample (n = 110) were analyzed when using craniometric measurements and DFA via FD3. Results show the greatest classification into Asian reference groups (72.7%), followed by Hispanic (12.7%), Indigenous American (7.3%), African (4.5%), and European (2.7%) groups included in FD3. This general pattern did not change between males and females. Moreover, replacing the raw craniometric values with their shape variables did not significantly alter the trends already observed.\nThird, MPR models were used to classify the ancestral affiliation of Filipino crania using morphoscopic traits. The overall correct classification rates for three-group and four-group models were 72.1% and 68.6%, respectively. Filipinos classified as Asian 52.9% of the time using three ancestral parental groups and 48.6% using four groups. A large portion of Filipinos also classified as African. There were no significant differences in classification trends or accuracy rates between complete crania and crania with at least one missing variable.\nMuch as this work emphasizes methodological advancements in Filipino biological profile estimation, it also more broadly attempts to introduce forensic anthropology in and of the Philippines as a discourse worthy of more mainstream study. Both the generation and application of knowledge in forensic anthropology have only begun in the Philippines. The outcome of missing persons investigations is dependent on the scale, infrastructure, and political will of the context. This work hopes to inspire the improvement of all three and provide forensic anthropology in the Philippines its due attention.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.041
GPT teacher head0.321
Teacher spread0.280 · 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