Institutional evaluation in Québec : an interpretation of organizational response to policy approaches in the context of Marianopolis College
Bibliographic record
Abstract
In the past two to three decades there has been tremendously increased interest from various sectors of society in the performance, effectiveness and social responsibility of higher education. As a result, an audit culture has evolved within which quality assurance has become an integral part of the politics of governance which assumes external regulation of academic activity to be the natural state of affairs. In Quebec, the Commission d'Evaluation de L'enseignement Collegial (CEEC) serves government instrumentally by institutionalizing accountability mechanisms, evaluation, and other quality assurance practices as technologies that transmit, as well as shape, particular values within the college-level sector. The underlying rationale for this study is to develop a deeper understanding of the institutional evaluation process. In order to attain this study's research objectives, a multidimensional theoretical framework is employed to analyze and interpret the ways by which the college of interest relates and responds to the institutional environment within which it is embedded. This framework draws upon neo-institutionalism theory in sociology and the emerging body of discourse literature within organizational studies. In answering the research question, a constructivist, qualitative interpretive case study of the college's self-evaluative experience is developed to clarify three specific aspects of the dynamics of quality assurance and the institutional evaluation process: how national policy regimes and organizations within their fields envision and approach quality assurance; which particular organizational strategies and procedures are adopted to achieve specific quality objectives in response to the organization's mission, vision and the institutional environment; and, how organizational interests are served in the process of implementing and complying with regulatory quality assurance procedures.
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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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.030 | 0.038 |
| Scholarly communication | 0.019 | 0.004 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.004 | 0.005 |
| 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".