Building the future of Library and Archives Canada : Assessing readiness for transformational projects
Bibliographic record
Abstract
As Canada’s pre-eminent memory institution, Library and Archives Canada (LAC) has the legislative mandate to collect, preserve and make accessible Canada’s priceless documentary heritage. This unique role as public caretaker for a vital, ever-growing collection brings considerable challenges to LAC as a corporate real estate (CRE) organisation. Added to this complexity is LAC’s relatively recent assignment as custodian of its own portfolio of special purpose real property, which represents a fundamental change to the institution’s role and responsibilities. Transfer of custody, which coincided with commencement of two of the Government of Canada’s most innovative major capital construction projects, has touched off a period of significant transformation within LAC. This paper will provide important background and context with respect to LAC’s unique mandate, history and evolution as a federal real property custodian; elaborate on the complexity of CRE management in this context; detail the two major projects; and highlight the guiding principles driving delivery through this transformative time. Lastly, this paper will offer actionable insights for others contemplating organisational readiness to undertake high-profile capital projects.
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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 | 0.006 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".