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Record W7083865127

Wanted by the IOC: A city to host the 2026 Winter Olympics

2018· other· en· W7083865127 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternet Archive (Internet Archive) · 2018
Typeother
Languageen
FieldSocial Sciences
TopicInnovative Teaching Methods
Canadian institutionsnot available
Fundersnot available
KeywordsUnrestHost (biology)PoliticsService (business)Flexibility (engineering)
DOInot available

Abstract

fetched live from OpenAlex

Wanted: A city to host the 2026 Winter Olympics. The International Olympic Committee needs a city to host the 2026 Winter games...but finding bidders hasn't been easy.Six European cities pulled out of official bids or possible bids when the IOC looked for candidates a few years ago for the 2022 Winter Olympics.The cities balked over soaring costs, political unrest or a lack of public support.Now, the IOC is trying to rebrand, billing itself as user friendly and at the service of host cities â and not the other way around.Its talking up flexibility and cost cutting, trying to change the IOCâs image of pressuring cities to build new sports venues that quickly become unused.Four cities have shown preliminary interest for 2026: Stockholm, Sweden; Calgary, Canada; Sion, Switzerland; and Sapporo, Japan.Calgary and Sapporo have hosted previous Winter Olympics...Sweden has never held the Winter Olympics.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.069
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.004
Scholarly communication0.0010.000
Open science0.0060.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0240.005

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 head0.031
GPT teacher head0.335
Teacher spread0.304 · 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