Run #776

done rubric v1 session 79426561 gemini-3.7-flash 2026-09-21 02:21

What the student sent the question as it arrived, then each reading of it

Typed by the student

What is determiner

The audit's reading of the question, which is what the Product AI judged against:

What is determiner

Audit's summary: The student asked "What is determiner?" The tutor explained that a determiner is a word placed before a noun to clarify what the noun refers to. The tutor provided examples like 'a', 'an', 'the' and demonstrated with sentences. The tutor also asked the student if they understood and provided further examples to reinforce the concept.

Transcript 1,024 characters · 350 stripped

Read it no speaker labels — tutor and student run together

Hello Pranab Kumar, welcome to Filo Learning Platform. Good evening beta. What? Are you still hearing my voice? Yes, a little closer. Are you still hearing my voice? Yes, I am. Yes. So what do you want to know? What is Determiner? Yes, I asked you about Determiner. Tell me what Determiner is. Determinant is a word placed before a noun to clarify what the noun refers to. What the noun? Paper. Or the terminal Sir, determiner spelling is correct? A determiner is a word placed before a noun to clarify what the noun refers to. Refer to. Is it? Yes. The boy plays football. Thank you for watching. So there is a more example. Book belongs to me. Book belongs to me. The book belongs to me. This is all determiner. Did you clear it? Yes, I understood. Like I said, Have you seen their keys? Have you seen their keys? Have you seen their keys? Everyone has seen their keys, but which key? One thing has to be determined. Refer to it. Have you seen my keys? Have you seen my keys? Have you seen my keys? Thank you for watching.

What the student sent the question as it arrived, then each reading of it

Typed by the student

What is determiner

The audit's reading of the question, which is what the Product AI judged against:

What is determiner

Transcript 1,024 characters · 350 stripped

Read it no speaker labels — tutor and student run together

Review team

no_issue

Product AI

nothing found

teaching Yes · mistakes No · satisfactory Yes

Each verdict takes your own. Yours is stored against the stack's, so “where is it wrong most often” is a question with an answer.

Work is the right way up The whiteboard is upright.

Text is oriented at 0 degrees across all frames 1-8.

seen · 100% confident
Your view
Writing is legible at video size Handwriting is clearly legible.

Handwritten yellow text on the dark background is clear and readable across frames 2 to 8.

seen · 95% confident
Your view
The work fills the frame Not applicable to a board session

seen
Nothing distracting in shot Not applicable to a board session

seen
The student's problem is established Question is captured at the top.

Frame 1 shows the question box with 'What is determiner'.

seen · 100% confident
Your view
Work proceeds in followable steps Working accumulates logically down the canvas.

The tutor writes definition first (frames 2-5), followed by progressive examples as the canvas scrolls down (frames 6-8).

seen · 95% confident
Your view
It reaches an answer The question is fully answered.

The tutor completes the definition and provides several illustrative examples ending in frame 8.

seen · 95% confident
Your view
Something was actually written board went from 2.02% to a peak of 2.89% covered (+0.88 points), ending at 1.83%

Effectively nothing was written.

measured
Your view
The concept is named before the working The tutor explicitly defines the concept.

The tutor states: 'A determiner is a word placed before a noun to clarify what the noun refers to.' (visible in frame 4).

heard · 95% confident
Your view
Explained rather than jumped to the answer The tutor explains the concept before providing examples.

The tutor defines the term and links it to nouns (frames 2-4) before walking through sentence examples.

heard · 95% confident
Your view
Solved step by step, not in one leap Explanation proceeds step-by-step through examples.

The tutor writes out sentences one by one and underlines/circles the determiner and noun pairs (frames 5-8).

heard · 95% confident
Your view
The session opens properly Proper greeting and topic confirmation.

The tutor greets the student: 'Hello Pranab Kumar, welcome to Filo Learning Platform. Good evening beta.' and confirms the question.

heard · 100% confident
Your view
No long dead air 0 gaps over 6.0s, 0s total (0% of the session), longest 0s

Silence is below -35.0dB — a crude measure on a phone microphone, so treat a low count as weak evidence rather than proof the tutor was talking.

measured
Your view

Observations judged, but not counted as the lab objecting

The camera holds still Not applicable to a board session

Not counted: Measured over 183 known-bad and 29 known-good camera sessions (2026-09-21): raised on 87% of the bad and 86% of the good, and the motion distributions are the same shape — median frame difference 25 on the bad set, 27 on the good. No threshold on this number separates them, so it is reported and not counted.

measured
Exposure is usable Not applicable to a board session

Not counted: Same two sets: it raised 6 of 183 known-bad and 2 of 29 known-good sessions. Both too few to mean anything, and the brightness distributions overlap almost exactly. The earlier reading that it 'fires more on clean sessions' was two sessions out of twenty-nine — noise, not an inverted rule.

measured
Understanding of the concept is checked No conceptual check question is asked.

The tutor only asks procedural/clarity checks like 'Did you clear it?' without prompting the student to identify a determiner or apply the concept.

Not counted: Raised on 87% of known-bad and 80% of known-good sessions. The criterion is honest about why in its own `why`: the transcript has no speaker labels, so a real check and a rhetorical 'ok?' are often indistinguishable, and the bar ends up one almost no session clears. Still judged and shown, because reading it beside a recording is how it gets better.

heard
Your view

What the model returned verbatim

{"findings": [
  {"key": "orientation", "verdict": "ok", "headline": "The whiteboard is upright.", "evidence": "Text is oriented at 0 degrees across all frames 1-8.", "confidence": 1.0},
  {"key": "legibility", "verdict": "ok", "headline": "Handwriting is clearly legible.", "evidence": "Handwritten yellow text on the dark background is clear and readable across frames 2 to 8.", "confidence": 0.95},
  {"key": "question_captured", "verdict": "ok", "headline": "Question is captured at the top.", "evidence": "Frame 1 shows the question box with 'What is determiner'.", "confidence": 1.0},
  {"key": "structure", "verdict": "ok", "headline": "Working accumulates logically down the canvas.", "evidence": "The tutor writes definition first (frames 2-5), followed by progressive examples as the canvas scrolls down (frames 6-8).", "confidence": 0.95},
  {"key": "completion", "verdict": "ok", "headline": "The question is fully answered.", "evidence": "The tutor completes the definition and provides several illustrative examples ending in frame 8.", "confidence": 0.95},
  {"key": "concept_named", "verdict": "ok", "headline": "The tutor explicitly defines the concept.", "evidence": "The tutor states: 'A determiner is a word placed before a noun to clarify what the noun refers to.' (visible in frame 4).", "confidence": 0.95},
  {"key": "explained_before_solving", "verdict": "ok", "headline": "The tutor explains the concept before providing examples.", "evidence": "The tutor defines the term and links it to nouns (frames 2-4) before walking through sentence examples.", "confidence": 0.95},
  {"key": "concept_checked", "verdict": "weak", "headline": "No conceptual check question is asked.", "evidence": "The tutor only asks procedural/clarity checks like 'Did you clear it?' without prompting the student to identify a determiner or apply the concept.", "confidence": 0.9},
  {"key": "step_by_step", "verdict": "ok", "headline": "Explanation proceeds step-by-step through examples.", "evidence": "The tutor writes out sentences one by one and underlines/circles the determiner and noun pairs (frames 5-8).", "confidence": 0.95},
  {"key": "opening", "verdict": "ok", "headline": "Proper greeting and topic confirmation.", "evidence": "The tutor greets the student: 'Hello Pranab Kumar, welcome to Filo Learning Platform. Good evening beta.' and confirms the question.", "confidence": 1.0}
]}

Duration	312s (5.2 min)
Video	1280×800 @ 10.0fps
Audio track	yes
Shot changes
Dead air	0 gaps ≥6.0s · 0s total · longest 0.0s
Luma	avg 41.9 · min · max
Medium	board 97.4% flat background
Content written	2.02% → 1.83% (+0.88)
Transcript	1024 characters of speech
Frames	8

Run #776

The recording

What the student sent the question as it arrived, then each reading of it

Transcript 1,024 characters · 350 stripped

What the student sent the question as it arrived, then each reading of it

Transcript 1,024 characters · 350 stripped

Review team

Product AI

Measured

What the model returned verbatim

Frames in order, one every ~39s