Bibliographic record
Abstract
[...]a tourist organization's primary service could be providing luxurious accommodations, but to guarantee success, it is likely to employ other industries including catering facilities, transportation services, and souvenir retailers. (2007) states, "much of the harm that has been perpetuated by dominant society on Indigenous people has been, and continues to be, based on ignorance" (p 3). [...]if such projects are able to adequately educate tourists about contemporary Aboriginal issues with respect to historical events, the presence of hostile negative relationships between Aboriginal and non Aboriginal people will be lessened, as ignorance regarding Aboriginal issues becomes something of the past. The St. Eugene Mission, located on reserve land near Cranbrook British Columbia, offers tourists a 4.5 star rated experience with access to an 18-hole golf course, a licensed casino, a gourmet restaurant, and of course luxury accommodations. Pierre refers to the period between the school closure and the re-opening as a "huge white elephant" (Pierre, 2009, p. 42), as it levied high monetary costs for the five bands to keep it running without any benefit to the community.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.190 | 0.022 |
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".