Day 4 · Thursday · Student answer key

Answers and explanations

Use after the class and problem setCheck the reason, not only the letter
Answer first

This key is released after submission. The questions it answers are on the pre-class check, the two studios and the problem set for this day. Work through them and commit to an answer before you read the explanations here: the point of every question is the reasoning, and a letter you have not argued for teaches you nothing.

Remember

When you correct an answer, identify the link you confused: representation, structure, retrieval, support, decision, or monitoring.

Pre-class concept check

ItemAnswerWhy
P1BChanging pounds to pence changes the weighting inside distance, not the K-means algorithm.
P2CSilhouette describes separation in a representation; it does not supply time stability or substantive truth.
P3ASame-signed loadings and high explained variance support a broad co-movement description, not a causal factor or beta.
P4BLexical and latent representations define similarity differently, so evidence must adjudicate the disagreement.
P5CSimilarity explains rank; semantic support requires comparing each claim with the cited words.
P6CWhen the bounded corpus has no support, refusal is more accurate than a plausible invention.

In-class concept studio

ItemAnswerWhy
C1AThe left and right columns are nearest to the corresponding initial centres.
C2BMultiplying \(y\) by 10 multiplies its squared-distance contribution by 100.
C3AThe value supports local internal separation only in the supplied geometry.
C4AThe \(x\) direction has \(96/(96+16)=6/7\) of variance; variance is not importance or causality.
C5AExact matching and latent co-occurrence can favour different chunks without implementation error.
C6AHit@5 concerns presence within five results; MRR concerns how early the first known item appears.
C7CRetrieval succeeded; generation added unsupported content.
C8ANeedless suspension is tied to false positives among the negative group, which differ sharply here.
C9BThe decision process converts missing evidence into negative labels and feeds that error into retraining.
C10CSource support does not allocate authority, choose a proportionate threshold, or provide appeal.

Empirical studio

ItemAnswerWhy
E1AKnown-item evaluation asks whether the named passage appears near the top of this fixed collection.
E2AAn identical candidate set isolates representation and scoring as the main comparison.
E3BFreezing prevents qrels from guiding rankings and identifies the exact object later scored.
E4ABM25 has better five-result coverage of known items; the latent method has a marginally earlier first hit on average.
E5BA valid citation identifier proves provenance, not that every clause is entailed.
E6CRanking never proves that an answer exists; refusal keeps the claim inside the corpus boundary.

After-class problem set

ItemAnswerWhy
S1AWithout scaling, volatile return histories dominate Euclidean distance.
S2BChanging cases and variables changes grouping companies into describing directions of daily co-movement.
S3BThe three checks answer separation, recognisability, and time stability; none establishes a natural taxonomy.
S4APCA loadings and CAPM beta come from different questions and estimands.
S5AExact terms and latent co-occurrence can legitimately generate different rankings.
S6AExistence plus poor rank indicates representation failure; absence indicates a coverage boundary.
S7BKnown-item qrels are not exhaustive relevance judgements.
S8BThe failure occurs before generation: the wrong or absent evidence was retrieved.
S9CEach generated clause must be supported or removed.
S10AA ranker always orders candidates, including collections with no answer.
S11BSampling unflagged cases and preserving unknown outcomes repairs the selective-label mechanism.
S12CThe combined response addresses decision authority, evidence quality, appeal, unequal harm, and monitoring.

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