The Impact of COVID-19 on the Work of Property Valuers: A Glance at the Polish State of Play
Bibliographic record
Abstract
This article presents how the COVID-19 pandemic affected the valuation profession in Poland in the early stages of its most severe restrictions and limitations. This study is the first to investigate the impact of COVID-19 on the professional activities of property valuers. In particular, it aims to identify the difficulties associated with valuers’ activities during the first lockdown and the impact of restrictions on business performance. The data analyzed come from a survey of Polish valuers in September 2020. The questions were of a closed-ended nature. Using a five-point Likert scale, respondents expressed their opinions on the difficulties and benefits of their work in the first COVID-19 period. The results show that the respondents experienced difficulties related to the pandemic and noted its negative impact on business performance. The most significant problem was the limited access to public institutions supporting the valuation process and providing market data on real estate transactions. The respondents also indicated other problems related to property valuation, as well as some positive effects for their business.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".