Winnipeg's urban Aboriginal non-profit housing : where are we now and where do we want to be?
Bibliographic record
Abstract
A Thcsis/Pr':rcticttm subtnittcrt to thc F¿rcultv of (ìr'adu¿rtc Studics of Thc Univcrsity of Manitob¿r in ¡rirrtial fulfillnlent of the rcquirement of the degree of Master of City Planning M a rli S:r l<ir,¿r m ¿rO2009Pel'nrissiou h¿rs becn gr¿rntetl to thc Univel.sit),ofN{¿rnitoba Libr.¿rrics to lend a copy of this thesis/¡tr:rcticttln' to LibrarS' ¿rntl Archivcs C¿rn¿rtl¿r (LAC) to lcnrl â copy of this thesis/¡rracticum, ¿rnd to LAC's zrgent (UMI/PI'oQuest) to rnicrofìlnr, sellcopies ¿rntl to puSlish an aSstr.act of this thesis/¡lracticu rn.This rc¡lroductiolt ol' cot)\r of this tltcsis h:rs bccn ¡n¿rrlc lr,¿ril¿rlllc 55, nut¡ority, of t¡e copl,right 01\¡nel'solely for the pul'pose
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".