The COVID-19 Pandemic and the Professional Situation on the Real Estate Market in Poland
Bibliographic record
Abstract
The article deals with the impact of the COVID-19 pandemic on the professional situation of people working on the real estate market in Poland.After the introduction of the pandemic state in Poland, the further restrictions had been implemented and Polish economy, including real estate market deteriorated.In 2019, 468.3 thousand transactions were recorded in Poland -the total value exceeds 121.7 billion PLN and has tripled over the last 10 years.(NBP, 2020) The following research question was formulated: how the professional situation on the real estate market has changed in the 2nd quarter of the 2020 in comparison to the previous period.The main objective of the paper is to identify current and future (expected) professional situation on selected market.For the purposes of the research a survey was conducted among 247 representatives of the professions connected with the real estate market: real estate agents, property managers and property valuators and other.Article describes the detailed research outcomes and focuses on such as aspects as collaboration with clients, operating mode, remote work during pandemic.Due to the specific scope of the studies mainly indigenous, Polish sources were used -Polish National Bank (NBP) and Statistics Poland reports and analysis.
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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 | 0.001 | 0.002 |
| 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 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".