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Record W4367665109 · doi:10.1162/thld_a_00803

Steaming in Plain Sight

2023· article· en· W4367665109 on OpenAlexaboutno aff
Angela Loescher-Montal, Latifa Alkhayat, Ous Abou Ras, Jules Kleitman

Bibliographic record

VenueThresholds · 2023
Typearticle
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsnot available
Fundersnot available
KeywordsArchitectureBachelorEstateResource (disambiguation)TreasureArchitectural engineeringEngineeringLibrary scienceGeographyVisual artsArtComputer sciencePolitical scienceArchaeologyLaw

Abstract

fetched live from OpenAlex

May 01 2023 Steaming in Plain Sight Angela Loescher-Montal, Angela Loescher-Montal Angela Loescher-Montal is a fourth-year dual degree student at MIT, currently completing her M. Arch and M. S. in Real Estate Development. She is focusing her research on the mediated nature of our urban realm and the increasing privatization of public space. She is also in the process of founding a start-up called Harness the Heat with three friends, which looks at the possibilities of re-channeling sources of wasted heat to heat outdoor spaces in the winter. Search for other works by this author on: This Site Google Scholar Latifa Alkhayat, Latifa Alkhayat Latifa Alkhayat is a Master of Architecture candidate at MIT. Her work delves into the themes of material processes and systems, ecology, resource extraction, and the national narratives that tie them. As an architectural researcher and practitioner, she has experience in Manama, London, and Cambridge. Search for other works by this author on: This Site Google Scholar Ous Abou Ras, Ous Abou Ras Ous Abou Ras is a graduate student in the M. Arch program at MIT. He is interested in how math and physical phenomenon can shape our built environment, and practices his intrigue by employing computational workflows. He holds a Bachelor's degree from the University of Toronto where he pursued a double major in Architecture and Physics and studied the ways in which the laws of physics shape our cities and architecture across cultures. Search for other works by this author on: This Site Google Scholar Jules Kleitman Jules Kleitman Search for other works by this author on: This Site Google Scholar Author and Article Information Angela Loescher-Montal Angela Loescher-Montal is a fourth-year dual degree student at MIT, currently completing her M. Arch and M. S. in Real Estate Development. She is focusing her research on the mediated nature of our urban realm and the increasing privatization of public space. She is also in the process of founding a start-up called Harness the Heat with three friends, which looks at the possibilities of re-channeling sources of wasted heat to heat outdoor spaces in the winter. Latifa Alkhayat Latifa Alkhayat is a Master of Architecture candidate at MIT. Her work delves into the themes of material processes and systems, ecology, resource extraction, and the national narratives that tie them. As an architectural researcher and practitioner, she has experience in Manama, London, and Cambridge. Ous Abou Ras Ous Abou Ras is a graduate student in the M. Arch program at MIT. He is interested in how math and physical phenomenon can shape our built environment, and practices his intrigue by employing computational workflows. He holds a Bachelor's degree from the University of Toronto where he pursued a double major in Architecture and Physics and studied the ways in which the laws of physics shape our cities and architecture across cultures. Jules Kleitman Online ISSN: 2572-7338 Print ISSN: 1091-711X © 2023 Angela Loescher-Montal, Latifa Alkhayat, Ous Abou Ras, & Jules Kleitman2023Angela Loescher-Montal, Latifa Alkhayat, Ous Abou Ras, & Jules Kleitman Thresholds (2023) (51): 226–229. https://doi.org/10.1162/thld_a_00803 Cite Icon Cite Permissions Share Icon Share Facebook Twitter LinkedIn MailTo Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Angela Loescher-Montal, Latifa Alkhayat, Ous Abou Ras, Jules Kleitman; Steaming in Plain Sight. Thresholds 2023; (51): 226–229. doi: https://doi.org/10.1162/thld_a_00803 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThresholds Search Advanced Search This content is only available as a PDF. © 2023 Angela Loescher-Montal, Latifa Alkhayat, Ous Abou Ras, & Jules Kleitman2023Angela Loescher-Montal, Latifa Alkhayat, Ous Abou Ras, & Jules Kleitman Article PDF first page preview Close Modal You do not currently have access to this content.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.507
Threshold uncertainty score0.703

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0050.003
Open science0.0000.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.5070.209

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 head0.011
GPT teacher head0.213
Teacher spread0.202 · 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.

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
Published2023
Admission routes1
Has abstractyes

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