MétaCan
Menu
Back to cohort
Record W2999348966 · doi:10.1515/sem-2019-0075

Intercultural parallax: Comparative modeling, ethnic taxonomy, and the dynamic object

2020· article· en· W2999348966 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSemiotica · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPhilippine History and Culture
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsSemioticsReflexivityEpistemologySociologyLinguisticsComputer scienceSocial science

Abstract

fetched live from OpenAlex

Abstract Comparative modeling is necessary for semiotic inquiry. To better theorize such pursuits, a reflexive turn is in order: comparative modeling needs comparative modeling. In search of experientially grounded analogies better suited for understanding, validating, scrutinizing, and accounting for the situation of the semiotic inquirer, this paper applies insights from Peircean process semiotics and Göran Sonesson’s extended theory of cultural semiotics toward two ends: one theoretical, the other applied. First, I undertake a critical review of recent scholarly and creative works that attempt to adapt concepts of “parallax” as a source domain for comparative modeling activities. I do this in order to continue laying groundwork for a more complex, systematic theory of reflexive semiotic modeling in human inquiry, building on my earlier work. Second, I explore a specific case study of comparative intercultural modeling: namely, nationalist ethnic classification strategies in China and Vietnam. While many researchers have considered the onomastic and geopolitical dimensions of state-sanctioned ethnic categorization programs in these two countries, little has been done to unpack the powerful visual and narratological strategies employed by both; and little has been done to compare the intercultural categories these strategies serve to legitimize. The Vietnamese classification program is clearly modeled on its Chinese counterpart historically, but important categorical mismatches emerge between the two that indicate the presence of hidden diversity. Comparing the two systems also leads to a number of discoveries with implications for further developing the theory of cultural semiotics. Ultimately, the function or purpose of parallax modeling is shown to both comprehend and point beyond nascent intercultural and intracultural models toward more complex blends, by holding all such relations in a comparative frame, not as irreconcilable positions but as a more developed composite sign indicating the presence of yet more deeply buried dynamic objects to be searched out through further collateral experience.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.700
Threshold uncertainty score0.347

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.118
GPT teacher head0.331
Teacher spread0.214 · 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