The final and most demanding skill in AoS2 is raising objections and criticisms that emerge specifically from the interplay between set text arguments and case study realities. This means identifying tensions, contradictions, inadequacies, and extensions that arise when philosophical theories meet concrete contemporary cases.
This is not about critiquing either the set texts or the case studies in isolation — it is about critiquing the fit between them and drawing philosophical consequences.
The problem: Sometimes a set text argument is applied to a case study as if the case perfectly instantiates the theoretical situation described in the text. In reality, real cases are messier, more complex, and involve variables the theory did not consider.
Example: Applying Clifford’s ship owner case to vaccine misinformation.
The Clifford application suggests: people who share misinformation without checking the evidence are like the ship owner — they are epistemically negligent and morally responsible.
Objection: The ship owner could have inspected the ship. Can individuals who receive algorithmically curated content independently verify the information presented to them? In many cases, the answer is no — they lack access to the raw evidence, the scientific expertise, and the time to conduct independent assessment.
Critique of the application: Clifford’s framework assumes that the epistemically responsible agent has access to the evidence needed to proportionate their belief. When algorithmic curation actively distorts information access, the standard Cliffordian response — “just examine the evidence” — is not available to most people. The interplay reveals a gap in Clifford’s account: it does not address structural conditions that make individual evidential investigation impossible.
Philosophical consequence: A fully adequate account of epistemic responsibility must address the structural conditions of belief formation, not merely individual epistemic behavior.
Example: Fricker’s framework applied to cancel culture.
Fricker assumes that testimonial injustice is primarily a downward pressure on credibility — prejudice deflates the credibility of marginalised speakers. Her solutions focus on cultivating virtues of credibility attribution — being less influenced by identity prejudice.
Objection from case study: Cancel culture raises the possibility of upward testimonial injustice — social pressure that inflates the credibility of accusers beyond what their evidence warrants, or that deflates the credibility of the accused below what a fair assessment would allow. Fricker’s virtue-based solution (cultivate fairer credibility judgements) seems to require exactly the kind of calm, individual deliberation that mass social media dynamics make impossible.
Critique: Fricker’s account assumes individual epistemic agents can, with appropriate virtue cultivation, achieve fairer credibility assessments. The case study reveals an assumption that this cultivation can occur despite social-media dynamics. In fact, platforms algorithmically optimise for outrage and rapid credibility deflation — a structural force that individual virtue may not be able to overcome.
Philosophical consequence: Fricker’s framework needs a structural as well as an individual dimension — epistemic injustice is not only a matter of individual virtue but of the systemic conditions under which credibility is assessed.
Example: Reid’s default trust applied to trust in expertise during COVID.
Reid’s anti-reductionism supports extending default trust to health authorities — we should believe public health claims unless specific defeaters arise.
But Fricker’s framework cautions that default credibility assignments can embed prejudice — institutions with histories of deception (e.g., Tuskegee) should not receive uncritical default trust from the communities they have harmed.
Tension: For some communities (particularly Black Americans), maintaining default trust in medical authorities is not epistemically naive but epistemically costly, given documented histories of institutional deception. But blanket distrust in vaccine safety has led to higher mortality from preventable diseases.
Critique of applying either framework alone: Applying Reid’s default trust ignores the legitimate epistemic standing of communities who distrust authorities for historically grounded reasons. Applying Fricker’s structural critique alone might justify blanket distrust that is itself epistemically and practically harmful.
Philosophical consequence: A defensible position must calibrate default trust differently for different communities, based on the specific track record of specific institutions — a nuanced position that neither Reid nor Fricker alone fully specifies.
Example: Standard peer disagreement models applied to echo chambers.
Both the conciliationist and steadfast positions on peer disagreement assume that the disagreeing parties are genuine peers — equally rational and equally well-positioned epistemically.
Objection: Echo chambers systematically manufacture the appearance of epistemic peers while corrupting the epistemic norms of community members. The disagreement that occurs between echo chamber members and mainstream scientists is not genuine peer disagreement in the theoretically relevant sense — one side has systematically distorted belief-forming processes.
Critique: The peer disagreement literature focuses on well-functioning epistemic agents disagreeing in good faith. It is radically insufficient for cases where one side’s epistemic norms have been deliberately corrupted. Applying conciliationism (move toward the flat-earth peer) or steadfastness (maintain your position) both miss the point: the issue is not whether to revise, but how to engage with a community whose epistemic processes are functioning pathologically.
Philosophical consequence: The case study reveals that peer disagreement models need to be supplemented by an account of epistemic community health — what makes a community an epistemically trustworthy source of disagreement — before the models can be meaningfully applied.
| Objection Type | What It Shows |
|---|---|
| Application is too crude | Set text doesn’t account for structural conditions of the case |
| Reveals unstated assumption | The case shows the set text depends on an assumption that doesn’t hold in this context |
| Frameworks pull in opposite directions | The case requires calibrating between competing set text positions |
| Framework is radically insufficient | The case reveals a gap so large that the set text needs fundamental extension |
KEY TAKEAWAY: The highest-level AoS2 skill is showing that set texts and case studies are in genuine tension — not that one simply applies to the other. Identifying and resolving this tension is what distinguishes excellent philosophical analysis from competent description.
VCAA FOCUS: Interplay objections demonstrate that you understand both the set texts and the case studies at a deep level. This is the skill that distinguishes top-band responses.
EXAM TIP: For your two chosen case studies, prepare one “objection from interplay” for each — a place where applying the set text to the case reveals a flaw, gap, or tension in the set text’s argument. This is the most sophisticated and most rewarding analytical move available in AoS2.
