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    "totalScore": 57,
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      "scqa_arc": "Deck establishes Situation (slides 5-10) but skips Complication and Question, jumping directly to Methodology and Answer; reads as an analytical methodology dump rather than a narrative arc.",
      "action_titles": "Roughly 30 of 54 slides carry true action titles (e.g. slide 9: 'Broadband speeds have increased 3-fold over the course of the nbn network roll out and today are 6-times faster than in 2011'), but methodology and appendix slides 14, 17, 19, 20, 23-25, 27-30, 43 fall back to topic labels like 'Constructing a dataset' or 'References'.",
      "mece_structure": "Clean two-part split (Economic / Social) with three logical sub-sections each (GDP & Productivity, Jobs & Businesses, Assumptions / Approach, Measurement, Detailed Results); minor redundancy between methodology slides 14-15 (duplicate '1 of 2' titles) and overlap between approach and measurement sections.",
      "closing_strength": "Deck ends on environmental outcomes (slide 53) followed by a generic 'About Accenture' boilerplate (slide 54) — no synthesis slide, no recommendations, no next steps for NBN Co.",
      "evidence_quality": "Strong — explicit literature review (slides 17, 23), benchmarking against Briglauer et al. (slide 18), regression coefficients with p-values (slides 19, 24, 25, 45), 1,500-user survey with statistical significance disclosure (slides 42-43), and a full references slide (30).",
      "clarity_of_thesis": "First 5 slides establish broadband's role as a GPT (slides 5-6) but never declaratively state the report's central finding (e.g. '$X billion in nbn-driven GDP uplift'); thesis is buried in methodology framing rather than stated upfront.",
      "production_quality": "Consistent Accenture template, disciplined footnotes, ~56% action-title density, but overcrowding on results slides 48-52 and duplicate slide title ('Constructing a dataset (1 of 2)' on both 14 and 15) hurt polish.",
      "visual_storytelling": "Tool selection is generally appropriate (donut charts for share, stacked bars for shift over time, heatmaps for geography, process diagrams for the 7-step framework), but 9 slides are flagged 'overcrowded' (5, 8, 9, 43, 48-52) and dilute the message."
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    "reviewedAt": "2026-04-25 11:55:29+00",
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      "Rewrite the p48-53 titles to state the finding rather than the topic, e.g. 'On average, 77% of nbn users report a positive employment impact' instead of 'How nbn-enabled internet impacts employment & income outcomes'",
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      "Quantitative spine is dense and specific — 0.18% Briglauer elasticity, SA2 granularity, 1,518 survey n, 13,500 incremental graduates — gives credibility throughout"
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      "The Detailed Results sequence (p48-53) uses identical topic-frame titles 'How nbn-enabled internet impacts X' instead of stating the 74-85% findings in the title — wastes the most insight-rich slides of the deck",
      "Methodology slides (p14-15 'Constructing a dataset (1 of 2)' duplicated, p27-29 'Key assumptions...(1 of 3, 2 of 3, 3 of 3)') are pure topic labels and could be condensed or push-titled"
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          "text": "Overview of model specification\nTo estimate the impact of fast broadband on higher education attainment at an SA2 level the following model specification was developed:\n%EDUC_bachelor degrees or higher = β1Broadband.Speedit + β2Population.Densityit + β3Average.Incomeit + β4Unemployment.Rateit + β5Remotenessit + εit\nWhere i = SA2 and t = time period (year, calendar year 2012 to 2019 inclusive)\nWith the following variables:\n• %EDUC_bachelor degrees or higher = Proportion with a bachelor degree or higher within an SA2\n• Broadband. Speedit = Average broadband speeds, estimated based on nbn and non-nbn connections, including unconnected households, who are assumed to have a speed of zero.\n• Population. Densityit = The quotient of the residential population in an SA2 and its area in square kilometres\n• Average. Incomeit = Personal income on an SA2 level\n• Unemployment. Rateit = Unemployment rate, by SA2 from Small Area Labour Markets data, by SA2\n• Remotenessit = Classification of an SA2 into one of five remoteness categories (major cities, inner regional, outer regional, remote and very remote) based on the Australian Statistical Geography Standard\n• εit = error term\nWe applied this model to estimate the implied percentage of people with a bachelors degree or higher in the absence of fast broadband (%EDUC_bachelor degrees or higher – β1 * Increase in broadband speed since 2011 / 100). Our model describes a relationship between total average broadband speeds and number of bachelor and higher degree completions. To fairly represent the impact of the nbn network (only one part of the total broadband story in Australia), we then disaggregate this total number of bachelor and higher degree completions into nbn and non-nbn effects. In each year we calculate the weighted impact of the nbn network on the all-Australian average broadband speed, accounting for take-up and average speeds, using the following formula:\n%Completion of a bachelor degree or higher upliftnbn = (Householdsnbn * Speednbn) / SpeedAll\nThis fraction increases over time with the nbn roll out, from 0.6% in 2012 to close to 90% in 2023. This fraction accounts for the fact the other non-nbn technologies exist and these too are providing some of the GDP benefit.",
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          "text": "Methodology: Measure of emissions avoided through the electricity savings yielded from using nbn network fixed-line technologies in comparison to a legacy ADSL-based network (theoretical based on 2011 data and subscriber numbers). Note the scope of data does not include the indirect avoided emissions that the nbn network fixed-line technologies may enable. Terabyte data used as unit of activity.",
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          "text": "Benchmark: Impacts are benchmarked against the circumstances in 2011, when the nbn network rollout began. For example, changes in broadband speeds between today and 2011. Impacts are expressed as the annual net new impact on avoided emissions based on any net change in the efficiency of the network compared to the previous year.",
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