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Record W2960358740 · doi:10.5194/ica-abs-1-268-2019

“Buoyant Cartographies”: Strata-Mapping the Detroit River Border

2019· article· en· W2960358740 on OpenAlexaffabout
Taien Ng-Chan

Bibliographic record

VenueAbstracts of the ICA · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicArchaeology and Natural History
Canadian institutionsYork University
Fundersnot available
KeywordsGeologyArchaeologyGeography

Abstract

fetched live from OpenAlex

Abstract. In the early days of September 2018, a group of artists and researchers converged on the Detroit River (an international border between Detroit, Michigan, USA and Windsor, Ontario, Canada) to investigate the “Buoyant Cartographies” that this particular site demanded. As one of the parties involved in this participatory event (along with Lead Investigators In/Terminus Creative Research Group and Float School), my artist-research collective Hamilton Perambulatory Unit (HPU) undertook an experimental mapping project that investigated the different “strata” of the place and the development of a “city-image.” The HPU Strata-Walk is an experimental and performative mapping methodology that focuses on how spatial meaning is created through a “stratigraphic” sensing of a site. The Detroit-Windsor border makes an especially compelling site for a Strata-Walk, in light of the conflicts over borders and walls in the current political environment, which presents an urgent need towards understanding and envisioning alternate possibilities for border zones. As a material site and geo-political space, the Detroit River border particularly benefits from intermedial investigations into spatial meanings and their construction. Notably, the role of folklore and local narratives on the internet and social media (and the erasure of Indigenous knowledge) figures large in developing one's knowledge of place. Experimental cartographies can thus help to develop alternate ways of seeing such sites.This presentation is an attempt to trace this particular event of “discovery,” an account of how a place becomes known and how intermedial practices influence the manifestation of space and experience. Inherent in this research is the overarching question of how one begins to decolonize public narratives of place, how gaps and erasures in knowledge can be located in order to demarcate a way forward for further study and action. With these concerns in mind, I conduct a preliminary analysis of the border site through the activities of the HPU and our specific “strata-walking” framework, which focuses on different approaches of mapping-as-process, from phenomenological, ethnographic and cultural landscape reading methodologies to networked, social and digital media research. This performative mapping can shape individual experiences of the border through the revealing of complex networks, flows, and narratives, and point to fissures where alternative imaginings might be possible. I will first begin with a brief introduction to the HPU’s methodologies, before situating them in a survey of relevant literatures around experimental and critical processes of mapping. Then, using photographic and textual documentation, I delve into some very preliminary results of the investigation, focusing on touristic experiences of border crossing as well as a look at the specific “imageability” of Peche Island in the Detroit River, a place of rumour and mystery, now a nature park maintained by the city of Windsor. The overall goal will be to demonstrate the necessity of experimental cartographies in the creation of alternate experiences and more reflexive narratives about the border zone, with the Detroit-Windsor border as a case study.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.084
Threshold uncertainty score0.167

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.003
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.015
GPT teacher head0.264
Teacher spread0.249 · 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 designNot applicable
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".

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Citations0
Published2019
Admission routes2
Has abstractyes

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