Bibliographic record
Abstract
Lonely Planet: The world's leading travel guide publisher Lonely Planet Vancouver is your passport to all the most relevant and up-to-date advice on what to see, what to skip, and what hidden discoveries await you. Roam the streets of Chinatown Night Market lit up with paper lanterns, admire the cityscape from your kayak, or see the Stanley Park totem poles; all with your trusted travel companion. Get to the heart of Vancouver and begin your journey now! Inside Lonely Planet Vancouver Travel Guide: *Color maps and images throughout *Highlights and itineraries show you the simplest way to tailor your trip to your own personal needs and interests *Insider tips save you time and money and help you get around like a local, avoiding crowds and trouble spots *Essential info at your fingertips - including hours of operation, phone numbers, websites, transit tips, and prices *Honest reviews for all budgets - including eating, sleeping, sight-seeing, going out, shopping, and hidden gems that most guidebooks miss *Cultural insights give you a richer and more rewarding travel experience - including history, art, literature, cinema, music, dance, architecture, and politics *Free, convenient pull-out Vancouver map (included in print version), plus over 33 neighborhood maps *Coverage of Downtown, Stanley Park, West End, Yaletown, Gastown, Chinatown, South Main, Commercial Drive, Granville Island, Fairview, South Granville, Kitsilano, University of British Columbia, Burnaby, and more The Perfect Choice: Lonely Planet Vancouver, our most comprehensive guide to Vancouver, is perfect for those planning to both explore the top sights and take the road less traveled. * Looking for just the highlights of Vancouver? Check out Lonely Planet's Vancouver Encounter, a handy-sized guide focused on the can't-miss sights for a quick trip. * Looking for more extensive coverage? Check out Lonely Planet's British Columbia & the Canadian Rockies guide for a comprehensive look at all the region has to offer. Authors: Written and researched by Lonely Planet and John Lee. About Lonely Planet: Started in 1973, Lonely Planet has become the world's leading travel guide publisher with guidebooks to every destination on the planet, as well as an award-winning website, a suite of mobile and digital travel products, and a dedicated traveler community. Lonely Planet's mission is to enable curious travelers to experience the world and to truly get to the heart of the places they find themselves in. TripAdvisor Travelers' Choice Awards 2012 and 2013 winner in Favorite Travel Guide category 'Lonely Planet guides are, quite simply, like no other.' - New York Times 'Lonely Planet. It's on everyone's bookshelves; it's in every traveller's hands. It's on mobile phones. It's on the Internet. It's everywhere, and it's telling entire generations of people how to travel the world.' - Fairfax Media (Australia)
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.712 | 0.696 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".