MétaCan
Menu
Back to cohort
Record W4247402530 · doi:10.32920/ryerson.14648520

Hotel Design

2021· preprint· en· W4247402530 on OpenAlexaboutno aff
Grant Aird

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicCruise Tourism Development and Management
Canadian institutionsnot available
Fundersnot available
KeywordsDowntownHotel designMarketingBusinessHotel industryHigh StreetArchitectural engineeringComputer scienceEngineeringHistoryPolitical scienceTourismLaw

Abstract

fetched live from OpenAlex

Briefly, this is a report that deals with today' s hotel industry with specific reference to Toronto. A city which has seen three new hotels in the downtown area over the past few years, and now at least three more started for construction in the next five years. The report contains sections that deal with historical events and aspects of the industry from its early existence to the present. Much of this will give the reader an insight to events that. have shaped the industry to what it is today. Since the industry is experiencing its own problems, dealing with design, finance and a change of image, much of this report will be concerned with looking at what is called a "Design Approach" to hotel design. In most cases, designers are finding this method to be of sound rationalism. Also the report will deal with three specific areas, rooms, lobbies and restaurant design. Here insight shall be given to -problems associated with each and what changes are occurring with each to ensure their success among guests and owners. Final portions of the report will be allotted to specifically one hotel, the Holiday Inn, Toronto Downtown. A critical analysis of the hotel and its design will be given with final submissions of the main floor and guest rooms, re-designed.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.339
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.091
GPT teacher head0.337
Teacher spread0.245 · 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 teacher head, 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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same topicCruise Tourism Development and ManagementFrench-language works237,207