The Murals of Moose Jaw: Commodification or Articulation of the Past?
Bibliographic record
Abstract
By the late 1980s, the 35,000 citizens of Moose Jaw, Saskatchewan, were faced with the harsh reality that their community was in decline. A global decrease in prices for agricultural goods and the reduction of rural transportation, culminating with the closing of VIA rail passenger service in 1990, had taken their toll on the collective psyche of the city’s residents. Many of Moose Jaw’s businesses were dependent to a significant extent on the local farming community for support and they struggled as agriculture, the mainstay of the rural economy in the province, declined in importance—a trend evident in statistics showing Saskatchewan’s changing labor force employed by industry (Table 1). Table 2 further demonstrates the community’s economic and population stagnation during the 1970s and 1980s. While total population changed very little between 1975 and 1991, the dependency ratio remained quite high, reflecting a decreasing youth component and an increasing percentage of the elderly. Economic stagnation, as revealed in declining construction starts and values, stimulated out-migration among the young. This limited development of employment opportunities and an aging population placed greater pressure on the city to support services and facilities. A sense of desperation was in the air as elected officials and private citizens attempted to devise tactics aimed at diversifying and revitalizing the local economy. It was during this low ebb that leaders began to consider alternative development strategies, including schemes geared towards the stimulation of tourism. One such plan centered on the idea of developing a series of historical murals in the downtown area. This strategy was based on a similar project undertaken in Chemainus, British Columbia, developed after a sawmill closure in the late 1970s forced the small Vancouver Island community to either diversify or perish. The success of the Chemainus murals, the major force in attracting 300,000 visitors and $26 million in business in 1991, 1 appealed to Moose Javians; in the summer of 1989, a
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Cultural geography study of the murals of Moose Jaw as commodification of the past.
It studies historical murals and local economic development rather than research practice.
Historical geography of tourism murals and local economic revitalization, not metaresearch.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.044 |
| Scholarly communication | 0.013 | 0.017 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".