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Record W7108224084 · doi:10.5281/zenodo.17777510

Conservation Challenges of Assam-Type Colonial Architecture at MC College, Sylhet

2025· article· en· W7108224084 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicArchitecture and Cultural Influences
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismArchitectureThrivingAction (physics)Cultural heritageQuarter (Canadian coin)Threatened species

Abstract

fetched live from OpenAlex

MC College, Sylhet displaying the region's Assam-type colonial architecture, this building is symbolic of the area's thriving educational and cultural past. These buildings were erected in the first quarter of the 20th century and have characteristic corrugated-iron roofing, wooden and half-brick, half-concrete walls, reflecting both colonial influence and the need to adapt construction to local seismic and climatic conditions. But these monuments are now threatened by forces of destruction, neglect and dilapidation, as well as the realities of urbanization. Their non-maintenance, termites, and moisture on top of unavailability of old construction elements add other woes in their existence. Though they are of historical significance and their architecture is sturdy, immediate action is needed to avoid irreparable damage. This research attempts to investigate the present condition of the Assam-type buildings at MC College, the conservation barriers that should be addressed and suggestions have been made to promote sustainable preservation and policy supports along with community participations on adaptive re-uses in order to protect this unique architectural heritage for next generations.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.003
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0000.001
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 head0.047
GPT teacher head0.244
Teacher spread0.198 · 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
GenreEmpirical

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
Published2025
Admission routes1
Has abstractyes

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