Mission (Im)possible? Determining Organizational Ideology by Examining Mission Statements
Bibliographic record
Abstract
This paper is part of a larger project investigating the relative roles of ideology and gender composition in determining organizational structure and behavior. The project’s genesis arose from a study by Meinhard and Foster (2003) that found that Canadian women’s voluntary organizations (WVOs) differed from gender-neutral and men’s organizations on many different measures. Women’s organizations were less likely to adopt a business orientation or pursue new revenue strategies, but were more likely to collaborate with other organizations and more likely to downsize. They also tended to be more pessimistic in their outlook and engaged in more advocacy and political action. Meinhard and Foster (2003) also found that among women’s organizations, those that were members of the Canadian National Action Committee on the Status of Women (NAC), an umbrella organization for feminist groups, were more extreme in their differences. In other words, although both NAC and non-NAC organizations differed significantly from gender-neutral organizations, NAC organizations differed the most. Keywords: CVSS, Centre for Voluntary Sector Studies, Working Paper Series,TRSM, Ted Rogers School of Management Citation:
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
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".