NSS open-text research brief · 2026 edition
What Physical Geographical Sciences students said in NSS 2026
We retain this subject page for reference, but do not publish a statistical brief where the evidence falls below our public reporting thresholds.
Publication decision
Why a full analysis is not shown
The available 2018–2026 data does not meet all publication requirements: at least 100 comments for the entity and at least three reportable topics or comparison cuts. Small values are not expanded or inferred.
The URL remains available so references do not break. It is marked noindex,follow and is excluded from the XML sitemap until the evidence meets the threshold.
01 · Method and limits
How to read this evidence
How topics are identified
Deterministic supervised learning models identify topics in each sentence. A comment counts once in every topic it mentions; mention rate is the share of comments included in the analysis for the same population, so topic rates do not sum to 100%.
Sentiment index
The index summarises the balance of positive and negative language from −100 to +100. Scores are averaged within each comment first, so longer comments do not carry more weight.
When results are shown
Pages require at least 100 comments and three reportable topics or subject cuts. Displayed cuts require n≥20; 2026-versus-2025 claims require n≥30 in both years.
Scope
This is authorised aggregate analysis of OfS NSS national undergraduate open-text comments. In 2026, 40,822 of 43,870 source comments were classified (93.1%); mention-rate denominators exclude unclassified comments.
02 · Reuse
Cite this page
Student Voice research team (2026). “Physical Geographical Sciences student feedback: NSS open-text insights, 2026.” Reviewed by Dr Stuart Grey. Student Voice AI. https://www.studentvoice.ai/cah3/physical-geographical-sciences/