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Record W7034573990

UNDERSTANDING IDENTITY, POWER, AND USE OF SPACE OVER TIME WITHIN HOUSEPIT 54, BRIDGE RIVER SITE (K’ETXELKNÁ’Z), BRITISH COLUMBIA

2023· dissertation· en· W7034573990 on OpenAlexaboutno aff

Bibliographic record

VenueThe Mathematics Enthusiast · 2023
Typedissertation
Languageen
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsBridge (graph theory)RestructuringEmbodied cognitionPopulationIdentity (music)Space (punctuation)Climate change
DOInot available

Abstract

fetched live from OpenAlex

This research examines cultural change and continuity as embodied within a singular multi-generational housepit (Housepit 54) located within the Bridge River site (K’etxelkná’z) in the Mid-Fraser Canyon, British Columbia, Canada. Previous research has highlighted the distinctive differences between Bridge River 2 and 3 time periods wherein the village was faced with dramatic population growth and climate change. These pressures crafted a Malthusian ceiling-type event which corresponded with the emergence of persistent institutionalized inequality. This research aims to illuminate issues of gender, kinship, social identity, and household social relationships in order to highlight how macro-scale cultural change is evinced in micro-scale space-use and activity patterns. This research examines how such a drastic restructuring of the sociopolitical realities within the Bridge River village (K’etxelkná’z) interfaces with interpersonal identity and cultural evolution at the household level.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.044
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.004
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.032
GPT teacher head0.236
Teacher spread0.204 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2023
Admission routes1
Has abstractyes

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